pubs

2026

1. [Journal]

   Anand D. Sarwate, Flavio P. Calmon, Oliver Kosut, and Lalitha Sankar, 

   An Information Theorist’s Tour of Differential Privacy

   IEEE BITS the Information Theory Magazine  to appear 2026

   .

   DOI Bib

           @article{SarwateCKS:26bits,
     author = {Sarwate, Anand D. and Calmon, Flavio P. and Kosut, Oliver and Sankar, Lalitha},
     doi = {10.1109/MBITS.2025.3625155},
     journal = {IEEE BITS the Information Theory Magazine},
     pages = {1--13},
     title = {An Information Theorist's Tour of Differential Privacy},
     year = {2026},
   }
   
           

2025

1. [Journal]

   Max Vargas, Reilly Cannon, Andrew Engel, Anand D Sarwate, and Tony Chiang, 

   Understanding generative AI output with embedding models

   Science Advances  11 : (48),  Nov 2025

   .

   DOI Bib

           @article{VargasCESC:25embedding,
     author = {Vargas, Max and Cannon, Reilly and Engel, Andrew and Sarwate, Anand D and Chiang, Tony},
     day = {26},
     doi = {10.1126/sciadv.adx4082},
     journal = {Science Advances},
     month = nov,
     number = {48},
     title = {Understanding generative AI output with embedding models},
     year = {2025},
   }
   
           

2. [Journal]

   Sinjini Banerjee, Tim Marrinan, Reilly Cannon, Tony Chiang, and Anand D. Sarwate, 

   Measuring training variability from stochastic optimization using robust nonparametric testing

   IEEE Journal of Selected Topics in Signal Processing  19 : (7),  Oct 2025

   .

   DOI URL Bib

           @article{BanerjeeMCCS:25nonparam,
     author = {Banerjee, Sinjini and Marrinan, Tim and Cannon, Reilly and Chiang, Tony and Sarwate, Anand D.},
     doi = {10.1109/JSTSP.2025.3583140},
     journal = {IEEE Journal of Selected Topics in Signal Processing},
     month = oct,
     number = {7},
     pages = {1477--1492},
     title = {Measuring training variability from stochastic optimization using robust nonparametric testing},
     url = {https://doi.org/10.1109/JSTSP.2025.3583140},
     year = {2025},
   }
   
           

3. [ArXiV]

   Yu Wu, Shuo Wu, Ye Tao, Yansong Li, and Anand D. Sarwate, 

   Not only a helper, but also a teacher: Interactive LLM Cascade

   ArXiv preprint arXiv:2509.22984 [cs.AI]  Sep 2025

   .

   URL Bib

           @techreport{WuWTLS:25teacher,
     author = {Wu, Yu and Wu, Shuo and Tao, Ye and Li, Yansong and Sarwate, Anand D.},
     institution = {ArXiV},
     month = sep,
     number = {arXiv:2509.22984 [cs.AI]},
     title = {Not only a helper, but also a teacher: Interactive LLM Cascade},
     url = {https://arxiv.org/abs/2509.22984},
     year = {2025},
   }
   
           

4. [ArXiV]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Yihan Zhang, 

   Sliding Window Adversarial Channels

   ArXiv preprint arXiv:2504.19773 [cs.IT]  Apr 2025

   .

   URL Bib

           @techreport{DeyJLSZ:25slidingarxiv,
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D. and Zhang, Yihan},
     institution = {ArXiV},
     month = apr,
     number = {arXiv:2504.19773 [cs.IT]},
     title = {Sliding Window Adversarial Channels},
     url = {https://arxiv.org/abs/2504.19773},
     year = {2025},
   }
   
           

5. [Conference]

   Yu Wu, Yansong Li, Zeyu Dong, Nitya Sathyavageeswaran, and Anand D. Sarwate, 

   Learning to Help in Multi-Class Settings

   In The Thirteenth International Conference on Learning Representations (ICLR 2025)  Apr 2025

   .

   URL Bib

           @inproceedings{WuLDSS:25learning,
     author = {Wu, Yu and Li, Yansong and Dong, Zeyu and Sathyavageeswaran, Nitya and Sarwate, Anand D.},
     booktitle = {The Thirteenth International Conference on Learning Representations (ICLR 2025)},
     cvcategory = {archival},
     month = apr,
     title = {Learning to Help in Multi-Class Settings},
     url = {https://openreview.net/forum?id=NCgTbt2j1F},
     year = {2025},
   }
   
           

6. [Conference]

   Ye Tao, and Anand D. Sarwate, 

   Differentially Private Distribution Estimation Using Functional Approximation

   In Proceedings of the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)  Apr 2025

   .

   DOI Bib

           @inproceedings{TaoS:25cdf,
     author = {Tao, Ye and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025)},
     doi = {10.1109/ICASSP49660.2025.10890461},
     month = apr,
     title = {Differentially Private Distribution Estimation Using Functional Approximation},
     year = {2025},
   }
   
           

7. [Conference]

   Sunitha Basodi, Javier Romero, Sandeep Panta, Dylan Martin, Sergey Plis, Anand D. Sarwate, and Vince D. Calhoun, 

   Federated Analysis of Neuroimaging Data Using COINSTAC

   In 2025 IEEE International Symposium on Biomedical Imaging (ISBI)  Apr 2025

   .

   DOI Bib

           @inproceedings{BasodiRPMPSC:25isbi,
     author = {Basodi, Sunitha and Romero, Javier and Panta, Sandeep and Martin, Dylan and Plis, Sergey and Sarwate, Anand D. and Calhoun, Vince D.},
     booktitle = {2025 IEEE International Symposium on Biomedical Imaging (ISBI)},
     doi = {10.1109/ISBI60581.2025.10981300},
     month = apr,
     title = {Federated Analysis of Neuroimaging Data Using {COINSTAC}},
     year = {2025},
   }
   
           

2024

1. [Conference]

   Sunitha Basodi, Javier Romero, Sandeep Panta, Dylan Martin, Sergey Plis, Anand D. Sarwate, and Vince D. Calhoun, 

   Advanced machine learning in neuroimaging studies via federated learning

   In 2024 IEEE International Conference on Big Data (BigData)  Dec 2024

   .

   DOI Bib

           @inproceedings{BasodiRPMPSC:24fl,
     author = {Basodi, Sunitha and Romero, Javier and Panta, Sandeep and Martin, Dylan and Plis, Sergey and Sarwate, Anand D. and Calhoun, Vince D.},
     booktitle = {2024 IEEE International Conference on Big Data (BigData)},
     doi = {10.1109/BigData62323.2024.10825936},
     month = dec,
     pages = {8623--8624},
     title = {Advanced machine learning in neuroimaging studies via federated learning},
     year = {2024},
   }
   
           

2. [Conference]

   Ye Tao, Anand D. Sarwate, Sandeep Panta, Sergey Plis, and Vince D. Calhoun, 

   Federated Privacy-Preserving Visualization: A Vision Paper

   In 2024 IEEE International Conference on Big Data (BigData)  Dec 2024

   .

   Abs Bib

   Privacy protection is important in visualization due to the risk of leaking personal sensitive information. In this paper, we study the problem of privacy-preserving visualizations using differential privacy, employing biomedical data from neuroimaging as a use case. We investigate several approaches based on perturbing correlation values and characterize their privacy cost and the impact of pre- and post-processing. To obtain a better privacy/visual utility tradeoff, we propose workflows for connectogram and seed-based connectivity visualizations, respectively. These workflows successfully generate visualizations similar to their non-private counterparts. Experiments show that qualitative assessments can be preserved while guaranteeing privacy. These results show that differential privacy is a promising method for protecting sensitive information in data visualization.Competing Interest StatementThe authors have declared no competing interest.

           @inproceedings{TaoSPPC:24vision,
     author = {Tao, Ye and Sarwate, Anand D. and Panta, Sandeep and Plis, Sergey and Calhoun, Vince D.},
     booktitle = {2024 IEEE International Conference on Big Data (BigData)},
     month = dec,
     pages = {8035--8041},
     title = {Federated Privacy-Preserving Visualization: A Vision Paper},
     year = {2024},
     bdsk-url-2 = {https://doi.org/10.1101/2024.10.11.617267}
   }
   
           

3. [Journal]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Yihan Zhang, 

   Codes for Adversaries: Between Worst-Case and Average-Case Jamming

   Foundations and Trends in Communications and Information Theory  21 : (3-4),  Dec 2024

   .

   DOI URL Bib

           @article{DeyJLSZ:24monograph,
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D. and Zhang, Yihan},
     cvcategory = {books},
     doi = {10.1561/0100000112},
     issn = {1567-2190},
     journal = {Foundations and Trends in Communications and Information Theory},
     month = dec,
     number = {3-4},
     pages = {300-588},
     title = {Codes for Adversaries: Between Worst-Case and Average-Case Jamming},
     url = {http://dx.doi.org/10.1561/0100000112},
     year = {2024},
   }
   
           

4. [Conference]

   Nitya Sathyavageeswaran, Roy D Yates, Anand D Sarwate, and Narayan B. Mandayam, 

   Timely Offloading in Mobile Edge Cloud Systems

   In Proceedings of the 2024 IEEE Information Theory Workshop  Nov 2024

   .

   DOI Bib

           @inproceedings{Sathyavageeswaran:24itw,
     address = {Shenzhen, China},
     author = {Sathyavageeswaran, Nitya and Yates, Roy D and Sarwate, Anand D and Mandayam, Narayan B.},
     booktitle = {Proceedings of the 2024 IEEE Information Theory Workshop},
     doi = {10.1109/ITW61385.2024.10806971},
     month = nov,
     pages = {133--138},
     title = {Timely Offloading in Mobile Edge Cloud Systems},
     year = {2024},
   }
   
           

5. [Book Chapter]

   Anand D. Sarwate, 

   Machine learning with differential privacy

   In Handbook of Sharing Confidential Data Differential Privacy, Secure Multiparty Computation, and Synthetic Data  Oct 2024

   .

   DOI Bib

           @inbook{Sarwate:24crcbook,
     address = {Boca Raton, FL, USA},
     author = {Sarwate, Anand D.},
     booktitle = {Handbook of Sharing Confidential Data Differential Privacy, Secure Multiparty Computation, and Synthetic Data},
     chapter = {7},
     cvcategory = {books},
     doi = {10.1201/9781003185284-9},
     editor = {Drechsler, J\"{o}rg and Kifer, Daniel and Reiter, Jerome and Slavkovic, Aleksandra},
     month = oct,
     pages = {91--114},
     publisher = {CRC Press},
     series = {Chapman \& Hall/CRC Handbooks of Modern Statistical Methods},
     title = {Machine learning with differential privacy},
     year = {2024},
   }
   
           

6. [ArXiV]

   Max Vargas, Reilly Cannon, Andrew Engel, Anand D. Sarwate, and Tony Chiang, 

   Understanding Generative AI Content with Embedding Models

   ArXiv preprint arXiv:2408.10437 [cs.LG]  Aug 2024

   .

   DOI Bib

           @techreport{VargasCESC:24arxiv,
     author = {Vargas, Max and Cannon, Reilly and Engel, Andrew and Sarwate, Anand D. and Chiang, Tony},
     doi = {10.48550/arXiv.2408.10437},
     institution = {ArXiV},
     month = aug,
     number = {arXiv:2408.10437 [cs.LG]},
     title = {Understanding Generative AI Content with Embedding Models},
     year = {2024},
   }
   
           

7. [Conference]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Yihan Zhang, 

   Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs

   In Proceedings of the 2024 IEEE International Symposium on Information Theory (ISIT)  Jul 2024

   .

   DOI Bib

           @inproceedings{DeyJLSZ:24isit,
     address = {Athens, Greece},
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D. and Zhang, Yihan},
     booktitle = {Proceedings of the 2024 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT57864.2024.10619362},
     month = jul,
     title = {Computationally Efficient Codes for Strongly Dobrushin-Stambler Nonsymmetrizable Oblivious AVCs},
     year = {2024},
   }
   
           

8. [Conference]

   Ye Tao, Anand D. Sarwate, Sandeep Panta, Sergey Plis, and Vince D. Calhoun, 

   Privacy-Preserving Visualization of Brain Functional Network Connectivity

   In 2024 IEEE International Symposium on Biomedical Imaging (ISBI)  May 2024

   .

   DOI Bib

           @inproceedings{TaoSPPC:24fnc,
     author = {Tao, Ye and Sarwate, Anand D. and Panta, Sandeep and Plis, Sergey and Calhoun, Vince D.},
     booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
     doi = {10.1109/ISBI56570.2024.10635222},
     month = may,
     pages = {1--5},
     title = {Privacy-Preserving Visualization of Brain Functional Network Connectivity},
     year = {2024},
   }
   
           

9. [ArXiV]

   Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, and Narayan Mandayam, 

   Timely Offloading in Mobile Edge Cloud Systems

   ArXiv preprint arXiv:2405.07274 [eess.SY]  May 2024

   .

   URL Bib

           @techreport{SathyavageeswaranYSM:24offloading,
     author = {Sathyavageeswaran, Nitya and Yates, Roy D. and Sarwate, Anand D. and Mandayam, Narayan},
     institution = {ArXiV},
     month = may,
     number = {arXiv:2405.07274 [eess.SY]},
     title = {Timely Offloading in Mobile Edge Cloud Systems},
     url = {https://arxiv.org/abs/2405.07274},
     year = {2024},
   }
   
           

10. [Journal]

    Kelly Rootes-Murdy, Sandeep Panta, Ross Kelly, Javier Romero, Yann Quidé, Murray J. Cairns, Carmel Loughland, Vaughan J. Carr, and 41 more authors

    Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC

    Patterns May 2024

    .

    Abs DOI URL Bib Local

    Summary Structural neuroimaging studies have identified a combination of shared and disorder-specific patterns of gray matter (GM) deficits across psychiatric disorders. Pooling large data allows for examination of a possible common neuroanatomical basis that may identify a certain vulnerability for mental illness. Large-scale collaborative research is already facilitated by data repositories, institutionally supported databases, and data archives. However, these data-sharing methodologies can suffer from significant barriers. Federated approaches augment these approaches by enabling access or more sophisticated, shareable and scaled-up analyses of large-scale data. We examined GM alterations using Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation, an open-source, decentralized analysis application. Through federated analysis of eight sites, we identified significant overlap in the GM patterns (n = 4,102) of individuals with schizophrenia, major depressive disorder, and autism spectrum disorder. These results show cortical and subcortical regions that may indicate a shared vulnerability to psychiatric disorders.

            @article{RootesMurdy+:24vbm,
      author = {Rootes-Murdy, Kelly and Panta, Sandeep and Kelly, Ross and Romero, Javier and Quid{\'e}, Yann and Cairns, Murray J. and Loughland, Carmel and Carr, Vaughan J. and Catts, Stanley V. and Jablensky, Assen and Green, Melissa J. and Henskens, Frans and Kiltschewskij, Dylan and Michie, Patricia T. and Mowry, Bryan and Pantelis, Christos and Rasser, Paul E. and Reay, William R. and Schall, Ulrich and Scott, Rodney J. and Watkeys, Oliver J. and Roberts, Gloria and Mitchell, Philip B. and Fullerton, Janice M. and Overs, Bronwyn J. and Kikuchi, Masataka and Hashimoto, Ryota and Matsumoto, Junya and Fukunaga, Masaki and Sachdev, Perminder S. and Brodaty, Henry and Wen, Wei and Jiang, Jiyang and Fani, Negar and Ely, Timothy D. and Lorio, Adriana and Stevens, Jennifer S. and Ressler, Kerry and Jovanovic, Tanja and {van Rooij}, Sanne J.H. and Federmann, Lydia M. and Jockwitz, Christiane and Teumer, Alexander and Forstner, Andreas J. and Caspers, Svenja and Cichon, Sven and Plis, Sergey M. and Sarwate, Anand D. and Calhoun, Vince D.},
      doi = {10.1016/j.patter.2024.100987},
      journal = {Patterns},
      local-url = {papers/RootesMurdy+24vbm.pdf},
      month = may,
      pages = {100987},
      title = {Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC},
      url = {https://www.sciencedirect.com/science/article/pii/S2666389924001028},
      year = {2024},
      bdsk-url-2 = {https://doi.org/10.1016/j.patter.2024.100987}
    }
    
            

11. [Conference]

    A. W. Engel, Z. Wang, N. Frank, I. Dumitriu, S. Choudhury, A. Sarwate, and T. Chiang, 

    Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

    In The Twelfth International Conference on Learning Representations  May 2024

    .

    URL Bib

            @inproceedings{EngelWFDCSC:24explanations,
      address = {Vienna, Austria},
      author = {Engel, A. W. and Wang, Z. and Frank, N. and Dumitriu, I. and Choudhury, S. and Sarwate, A. and Chiang, T.},
      booktitle = {The Twelfth International Conference on Learning Representations},
      cvcategory = {archival},
      month = may,
      title = {Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models},
      url = {https://openreview.net/forum?id=yKksu38BpM},
      year = {2024},
    }
    
            

12. [Conference]

    Jose Hoyos Sanchez, Batoul Taki, Waheed Bajwa, and Anand Sarwate, 

    Federated Learning of Tensor Generalized Linear Models with Low Separation Rank

    In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)  Apr 2024

    .

    DOI Bib

            @inproceedings{HoyosSanchezTBS:24icassp,
      author = {Sanchez, Jose Hoyos and Taki, Batoul and Bajwa, Waheed and Sarwate, Anand},
      booktitle = {Proceedings of the 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)},
      doi = {10.1109/ICASSP48485.2024.10446033},
      month = apr,
      pages = {2136--2140},
      title = {Federated Learning of Tensor Generalized Linear Models with Low Separation Rank},
      year = {2024},
    }
    
            

13. [Conference]

    Batoul Taki, Anand D. Sarwate, and Waheed U. Bajwa, 

    Low Separation Rank in Tensor Generalized Linear Models: an Asymptotic Analysis

    In Proceedings of the 2024 Annual Conference on Information Science and Systems (CISS)  Mar 2024

    .

    Bib

            @inproceedings{TakiSB:24asymptotics,
      address = {Princeton, NJ, USA},
      author = {Taki, Batoul and Sarwate, Anand D. and Bajwa, Waheed U.},
      booktitle = {Proceedings of the 2024 Annual Conference on Information Science and Systems (CISS)},
      month = mar,
      title = {Low Separation Rank in Tensor Generalized Linear Models: an Asymptotic Analysis},
      year = {2024}
    }
    
            

2023

1. [Conference]

   Zhichao Wang, Andrew Engel, Anand Sarwate, Ioana Dumitriu, and Tony Chiang, 

   Spectral Evolution and Invariance in Linear-width Neural Networks

   In Advances in Neural Information Processing Systems 36 (NeurIPS 2023)  Dec 2023

   .

   URL Bib

           @incollection{WangESDC:23neurips,
     author = {Wang, Zhichao and Engel, Andrew and Sarwate, Anand and Dumitriu, Ioana and Chiang, Tony},
     booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023)},
     cvcategory = {archival},
     month = dec,
     publisher = {Curran Associates, Inc.},
     title = {Spectral Evolution and Invariance in Linear-width Neural Networks},
     url = {https://openreview.net/forum?id=gpqBGyKeKH},
     year = {2023},
   }
   
           

2. [Journal]

   Sasha Costanza-Chock, Kristin Rose (editor), Kate Henne, Sabelo Mhlambi, and Anand Sarwate, 

   Critical AI and Design Justice: An Interview with Sasha Costanza-Chock

   Critical AI  1–2 : (1),  Oct 2023

   .

   DOI Bib

           @article{CostanzaChockRHMS:23sarwate,
     author = {Costanza-Chock, Sasha and {Rose (editor)}, Kristin and Henne, Kate and Mhlambi, Sabelo and Sarwate, Anand},
     doi = {10.1215/2834703X-10734036},
     journal = {Critical AI},
     month = oct,
     number = {1},
     title = {Critical AI and Design Justice: An Interview with Sasha Costanza-Chock},
     year = {2023},
   }
   
           

3. [Journal]

   Batoul Taki, Anand D. Sarwate, and Waheed U. Bajwa, 

   Structured Low-Rank Tensor Models for Logistic Regression

   Transactions on Machine Learning Research Aug 2023

   .

   URL Bib

           @article{TakiGSB:23LSRtensorLR,
     author = {Taki, Batoul and Sarwate, Anand D. and Bajwa, Waheed U.},
     journal = {Transactions on Machine Learning Research},
     month = aug,
     title = {Structured Low-Rank Tensor Models for Logistic Regression},
     url = {https://openreview.net/forum?id=qUxBs3Ln41},
     year = {2023},
   }
   
           

4. [Conference]

   Debbrata Kumar Saha, Vince Calhoun, Soo Min Kwon, Anand Sarwate, Rekha Saha, and Sergey Plis, 

   Federated, Fast, and Private Visualization of Decentralized Data

   In Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities (FL-ICML 2023)  Jul 2023

   .

   URL Bib

           @inproceedings{SahaCKSSP:23dnse:workshop,
     author = {Saha, Debbrata Kumar and Calhoun, Vince and Kwon, Soo Min and Sarwate, Anand and Saha, Rekha and Plis, Sergey},
     booktitle = {Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities (FL-ICML 2023)},
     month = jul,
     title = {Federated, Fast, and Private Visualization of Decentralized Data},
     url = {https://openreview.net/forum?id=XkfbFUqvek},
     year = {2023},
   }
   
           

5. [Conference]

   Zhichao Wang, Andrew Engel, Anand Sarwate, Ioana Dumitriu, and Tony Chiang, 

   Spectral Evolution and Invariance in Linear-width Neural Networks

   In Workshop on High-dimensional Learning Dynamics (HiLD-ICML 2023)  Jul 2023

   .

   URL Bib

           @inproceedings{WangESDC:23ICMLworkshop,
     author = {Wang, Zhichao and Engel, Andrew and Sarwate, Anand and Dumitriu, Ioana and Chiang, Tony},
     booktitle = {Workshop on High-dimensional Learning Dynamics (HiLD-ICML 2023)},
     month = jul,
     title = {Spectral Evolution and Invariance in Linear-width Neural Networks},
     url = {https://drive.google.com/file/d/1dzxXlayANDzFOFSC6jOgwvOZ-Iweo44C/view},
     year = {2023},
   }
   
           

6. [Journal]

   Dylan Martin, Sunitha Basodi, Sandeep Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Romero, and 8 more authors

   Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility

   Frontiers in Neuroinformatics  17 Jun 2023

   .

   Abs DOI URL Bib

   Collaborative neuroimaging research is often hindered by technological, policy, administrative, and methodological barriers, despite the abundance of available data. COINSTAC (The Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation) is a platform that successfully tackles these challenges through federated analysis, allowing researchers to analyze datasets without publicly sharing their data. This paper presents a significant enhancement to the COINSTAC platform: COINSTAC Vaults (CVs). CVs are designed to further reduce barriers by hosting standardized, persistent, and highly-available datasets, while seamlessly integrating with COINSTAC’s federated analysis capabilities. CVs offer a user-friendly interface for self-service analysis, streamlining collaboration, and eliminating the need for manual coordination with data owners. Importantly, CVs can also be used in conjunction with open data as well, by simply creating a CV hosting the open data one would like to include in the analysis, thus filling an important gap in the data sharing ecosystem. We demonstrate the impact of CVs through several functional and structural neuroimaging studies utilizing federated analysis showcasing their potential to improve the reproducibility of research and increase sample sizes in neuroimaging studies.

           @article{Martin:23vaults,
     author = {Martin, Dylan and Basodi, Sunitha and Panta, Sandeep and Rootes-Murdy, Kelly and Prae, Paul and Sarwate, Anand D. and Kelly, Ross and Romero, Javier and Baker, Bradley T. and Gazula, Harshvardhan and Bockholt, Jeremy and Turner, Jessica A. and Esper, Nathalia B. and Franco, Alexandre R. and Plis, Sergey and Calhoun, Vince D.},
     doi = {10.3389/fninf.2023.1207721},
     journal = {Frontiers in Neuroinformatics},
     month = jun,
     title = {Enhancing collaborative neuroimaging research: introducing {COINSTAC Vaults} for federated analysis and reproducibility},
     url = {https://www.frontiersin.org/articles/10.3389/fninf.2023.1207721},
     year = {2023},
     bdsk-url-2 = {https://doi.org/10.3389/fninf.2023.1207721}
   }
   
           

7. [Conference]

   Sijie Li, Prasad Krishan, Sidharth Jaggi, Michael Langberg, and Anand D Sarwate, 

   Computationally Efficient Codes for Adversarial Binary-Erasure Channels

   In Proceedings of the 2023 IEEE International Symposium on Information Theory (ISIT)  Jun 2023

   .

   DOI URL Bib

           @inproceedings{LKJLS:23efficient,
     author = {Li, Sijie and Krishan, Prasad and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D},
     booktitle = {Proceedings of the 2023 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT54713.2023.10206731},
     month = jun,
     pages = {228--233},
     title = {Computationally Efficient Codes for Adversarial Binary-Erasure Channels},
     url = {https://doi.org/10.1109/ISIT54713.2023.10206731},
     year = {2023},
   }
   
           

8. [ArXiV]

   Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta, Anand D. Sarwate, Andrew Lumsdaine, and Tony Chiang, 

   Minibatching Offers Improved Generalization Performance for Second Order Optimizers

   ArXiv preprint arXiv:2307.11684 [cs.LG]  May 2023

   .

   DOI URL Bib

           @techreport{SilkCDSLC:23minibatching,
     author = {Silk, Eric and Chakraborty, Swarnita and Dasgupta, Nairanjana and Sarwate, Anand D. and Lumsdaine, Andrew and Chiang, Tony},
     doi = {10.48550/arXiv.2307.11684},
     institution = {ArXiV},
     month = may,
     number = {arXiv:2307.11684 [cs.LG]},
     title = {Minibatching Offers Improved Generalization Performance for Second Order Optimizers},
     url = {https://arxiv.org/abs/2307.11684},
     year = {2023},
   }
   
           

9. [Journal]

   Naima Tasnim, Jafar Mohammadi, Anand D Sarwate, and Hafiz Imtiaz, 

   Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning

   Entropy  25 : (5),  May 2023

   .

   DOI URL Bib

           @article{TasnimMSI:23capefm,
     author = {Tasnim, Naima and Mohammadi, Jafar and Sarwate, Anand D and Imtiaz, Hafiz},
     doi = {10.3390/e25050825},
     journal = {Entropy},
     month = may,
     number = {5},
     pages = {825},
     title = {Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning},
     url = {https://doi.org/10.3390/e25050825},
     year = {2023},
   }
   
           

10. [Journal]

    Rashidul Islam, Kamrun Naher Keya, Shimei Pan, Anand D. Sarwate, and James R. Foulds, 

    Differential Fairness: An Intersectional Framework for Fair AI

    Entropy  25 : (4),  Apr 2023

    .

    Abs DOI URL Bib

    We propose definitions of fairness in machine learning and artificial intelligence systems that are informed by the framework of intersectionality, a critical lens from the legal, social science, and humanities literature which analyzes how interlocking systems of power and oppression affect individuals along overlapping dimensions including gender, race, sexual orientation, class, and disability. We show that our criteria behave sensibly for any subset of the set of protected attributes, and we prove economic, privacy, and generalization guarantees. Our theoretical results show that our criteria meaningfully operationalize AI fairness in terms of real-world harms, making the measurements interpretable in a manner analogous to differential privacy. We provide a simple learning algorithm using deterministic gradient methods, which respects our intersectional fairness criteria. The measurement of fairness becomes statistically challenging in the minibatch setting due to data sparsity, which increases rapidly in the number of protected attributes and in the values per protected attribute. To address this, we further develop a practical learning algorithm using stochastic gradient methods which incorporates stochastic estimation of the intersectional fairness criteria on minibatches to scale up to big data. Case studies on census data, the COMPAS criminal recidivism dataset, the HHP hospitalization data, and a loan application dataset from HMDA demonstrate the utility of our methods.

            @article{IslamKPSF:23df,
      article-number = {660},
      author = {Islam, Rashidul and Keya, Kamrun Naher and Pan, Shimei and Sarwate, Anand D. and Foulds, James R.},
      doi = {10.3390/e25040660},
      issn = {1099-4300},
      journal = {Entropy},
      month = apr,
      number = {4},
      title = {Differential Fairness: An Intersectional Framework for Fair AI},
      url = {https://www.mdpi.com/1099-4300/25/4/660},
      year = {2023},
      bdsk-url-2 = {https://doi.org/10.3390/e25040660}
    }
    
            

2022

1. [Journal]

   Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, and 47 more authors

   Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains

   Neuroinformatics  21 Nov 2022

   .

   Abs DOI URL Bib

   With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially constrained independent component analysis (ICA) that is used to link brain network abnormalities among different datasets, studies, and disorders while leveraging subject-specific networks. In this study, we implement the neuromark pipeline in COINSTAC, an open-source neuroimaging framework for collaborative/decentralized analysis. Decentralized exploratory analysis of nearly 2000 resting-state functional magnetic resonance imaging datasets collected at different sites across two cohorts and co-located in different countries was performed to study the resting brain functional network connectivity changes in adolescents who smoke and consume alcohol. Results showed hypoconnectivity across the majority of networks including sensory, default mode, and subcortical domains, more for alcohol than smoking, and decreased low frequency power. These findings suggest that global reduced synchronization is associated with both tobacco and alcohol use. This proof-of-concept work demonstrates the utility and incentives associated with large-scale decentralized collaborations spanning multiple sites.

           @article{Gazula:22federated,
     author = {Gazula, Harshvardhan and Rootes-Murdy, Kelly and Holla, Bharath and Basodi, Sunitha and Zhang, Zuo and Verner, Eric and Kelly, Ross and Murthy, Pratima and Chakrabarti, Amit and Basu, Debasish and Bhagyalakshmi Nanjayya, Subodh and Lenin Singh, Rajkumar and Lourembam Singh, Roshan and Kalyanram, Kartik and Kartik, Kamakshi and Kalyanaraman, Kumaran and Ghattu, Krishnaveni and Kuriyan, Rebecca and Kurpad, Sunita Simon and Barker, Gareth J. and Bharath, Rose Dawn and Desrivieres, Sylvane and Purushottam, Meera and Orfanos, Dimitri Papadopoulos and Sharma, Eesha and Hickman, Matthew and Toledano, Mireille and Vaidya, Nilakshi and Banaschewski, Tobias and Bokde, Arun L. W. and Flor, Herta and Grigis, Antoine and Garavan, Hugh and Gowland, Penny and Heinz, Andreas and Br{\"u}hl, R{\"u}diger and Martinot, Jean-Luc and Paill{\'e}re Martinot, Marie-Laure and Artiges, Eric and Nees, Frauke and Paus, Tom{\'a}s and Poustka, Luise and Fr{\"o}hner, Juliane H. and Robinson, Lauren and Smolka, Michael N. and Walter, Henrik and Winterer, Jeanne and Whelan, Robert and Turner, Jessica A. and Sarwate, Anand D. and Plis, Sergey M. and Benegal, Vivek and Schumann, Gunter and Calhoun, Vince D. and {IMAGEN Consortium}},
     doi = {10.1007/s12021-022-09604-4},
     journal = {Neuroinformatics},
     month = nov,
     pages = {287--301},
     title = {Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains},
     url = {https://doi.org/10.1007/s12021-022-09604-4},
     year = {2022},
   }
   
           

2. [Journal]

   Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, and Anand D. Sarwate, 

   Quadratically Constrained Myopic Adversarial Channels

   IEEE Transactions on Information Theory  68 Aug 2022

   .

   DOI URL Bib

           @article{ZhangVJS:22myopicgavc,
     author = {Zhang, Yihan and Vatedka, Shashank and Jaggi, Sidharth and Sarwate, Anand D.},
     doi = {10.1109/TIT.2022.3167554},
     journal = {IEEE Transactions on Information Theory},
     month = aug,
     pages = {4901--4948},
     title = {Quadratically Constrained Myopic Adversarial Channels},
     url = {https://doi.org/10.1109/TIT.2022.3167554},
     year = {2022},
   }
   
           

3. [Conference]

   Yihan Zhang, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate, 

   The Capacity of Causal Adversarial Channels

   In Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT)  Jun 2022

   .

   DOI URL ArXiV Bib

           @inproceedings{ZhangJLS:22isit,
     author = {Zhang, Yihan and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT50566.2022.9834709},
     month = jun,
     title = {The Capacity of Causal Adversarial Channels},
     url = {https://doi.org/10.1109/ISIT50566.2022.9834709},
     year = {2022},
   }
   
           

4. [Conference]

   Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate, and Narayan Mandayam, 

   Privacy Leakage in Discrete Time Updating Systems

   In Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT)  Jun 2022

   .

   DOI URL ArXiV Bib

           @inproceedings{SathyavageeswaranYSM:22isit,
     author = {Sathyavageeswaran, Nitya and Yates, Roy D. and Sarwate, Anand D. and Mandayam, Narayan},
     booktitle = {Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT50566.2022.9834673},
     month = jun,
     title = {Privacy Leakage in Discrete Time Updating Systems},
     url = {https://doi.org/10.1109/ISIT50566.2022.9834673},
     year = {2022},
   }
   
           

5. [Journal]

   Sijie Xiong, Anand D Sarwate, and Narayan B Mandayam, 

   Network Traffic Shaping for Enhancing Privacy in IoT Systems

   IEEE/ACM Transactions on Networking  30 : (3),  Jun 2022

   .

   DOI URL Bib

           @article{XiongSM:22shaping,
     author = {Xiong, Sijie and Sarwate, Anand D and Mandayam, Narayan B},
     doi = {10.1109/TNET.2021.3140174},
     journal = {IEEE/ACM Transactions on Networking},
     month = jun,
     number = {3},
     pages = {1162--1177},
     title = {Network Traffic Shaping for Enhancing Privacy in IoT Systems},
     url = {https://dx.doi.org/10.1109/TNET.2021.3140174},
     year = {2022},
   }
   
           

6. [ArXiV]

   Andrew Engel, Zhichao Wang, Anand D. Sarwate, Sutanay Choudhury, and Tony Chiang, 

   TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models

   ArXiv preprint arXiv:2205.12372 [cs.LG]  May 2022

   .

   URL Bib

           @techreport{EngelWSCC:22torchntk,
     author = {Engel, Andrew and Wang, Zhichao and Sarwate, Anand D. and Choudhury, Sutanay and Chiang, Tony},
     institution = {ArXiV},
     month = may,
     number = {arXiv:2205.12372 [cs.LG]},
     title = {TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models},
     url = {https://arxiv.org/abs/2205.12372},
     year = {2022},
   }
   
           

7. [Conference]

   Soo Min Kwon, Xin Li, and Anand D. Sarwate, 

   Low-Rank Phase Retrieval with Structured Tensor Models

   In Proceedings of the 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)  May 2022

   .

   DOI URL ArXiV Bib

           @inproceedings{KwonLS:22tensor:lrpr,
     author = {Kwon, Soo Min and Li, Xin and Sarwate, Anand D.},
     booktitle = {Proceedings of the 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)},
     doi = {10.1109/ICASSP43922.2022.9746452},
     month = may,
     pages = {3643--3647},
     title = {Low-Rank Phase Retrieval with Structured Tensor Models},
     url = {https://doi.org/10.1109/ICASSP43922.2022.9746452},
     year = {2022},
   }
   
           

8. [Journal]

   Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey Plis, Jingyu Liu, Eric Verner, and 1 more author

   Decentralized Brain Age Estimation Using MRI Data

   Neuroinformatics  20 : (4),  Apr 2022

   .

   Abs DOI URL Bib

   Recent studies have demonstrated that neuroimaging data can be used to estimate biological brain age, as it captures information about the neuroanatomical and functional changes the brain undergoes during development and the aging process. However, researchers often have limited access to neuroimaging data because of its challenging and expensive acquisition process, thereby limiting the effectiveness of the predictive model. Decentralized models provide a way to build more accurate and generalizable prediction models, bypassing the traditional data-sharing methodology. In this work, we propose a decentralized method for biological brain age estimation using support vector regression models and evaluate it on three different feature sets, including both volumetric and voxelwise structural MRI data as well as resting functional MRI data. The results demonstrate that our decentralized brain age regression models can achieve similar performance compared to the models trained with all the data in one location.

           @article{Basodi:2022aa,
     author = {Basodi, Sunitha and Raja, Rajikha and Ray, Bhaskar and Gazula, Harshvardhan and Sarwate, Anand D. and Plis, Sergey and Liu, Jingyu and Verner, Eric and Calhoun, Vince D.},
     doi = {10.1007/s12021-022-09570-x},
     journal = {Neuroinformatics},
     month = apr,
     number = {4},
     pages = {981--990},
     title = {Decentralized Brain Age Estimation Using MRI Data},
     url = {https://doi.org/10.1007/s12021-022-09570-x},
     year = {2022},
   }
   
           

9. [Journal]

   Kelly Rootes-Murdy, Harshvardhan Gazula, Eric Verner, Ross Kelly, Thomas DeRamus, Sergey Plis, Anand Sarwate, Jessica Turner, and 1 more author

   Federated Analysis of Neuroimaging Data: A Review of the Field

   Neuroinformatics  20 : (2),  Apr 2022

   .

   Abs DOI URL Bib

   The field of neuroimaging has embraced sharing data to collaboratively advance our understanding of the brain. However, data sharing, especially across sites with large amounts of protected health information (PHI), can be cumbersome and time intensive. Recently, there has been a greater push towards collaborative frameworks that enable large-scale federated analysis of neuroimaging data without the data having to leave its original location. However, there still remains a need for a standardized federated approach that not only allows for data sharing adhering to the FAIR (Findability, Accessibility, Interoperability, Reusability) data principles, but also streamlines analyses and communication while maintaining subject privacy. In this paper, we review a non-exhaustive list of neuroimaging analytic tools and frameworks currently in use. We then provide an update on our federated neuroimaging analysis software system, the Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation (COINSTAC). In the end, we share insights on future research directions for federated analysis of neuroimaging data.

           @article{Rootes-Murdy:2021tc,
     author = {Rootes-Murdy, Kelly and Gazula, Harshvardhan and Verner, Eric and Kelly, Ross and DeRamus, Thomas and Plis, Sergey and Sarwate, Anand and Turner, Jessica and Calhoun, Vince},
     doi = {10.1007/s12021-021-09550-7},
     journal = {Neuroinformatics},
     month = apr,
     number = {2},
     pages = {377--390},
     title = {Federated Analysis of Neuroimaging Data: A Review of the Field},
     url = {https://doi.org/10.1007/s12021-021-09550-7},
     year = {2022},
   }
   
           

10. [Conference]

    Frank Cangialosi, Neil Agarwal, Venkat Arun, Junchen Jiang, Srinivas Narayana, Anand Sarwate, and Ravi Netravali, 

    Privid: Practical, Privacy-Preserving Video Analytics Queries

    In Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’22)  Apr 2022

    .

    URL Bib

            @inproceedings{CangialosiAAJNSN:22privid,
      author = {Cangialosi, Frank and Agarwal, Neil and Arun, Venkat and Jiang, Junchen and Narayana, Srinivas and Sarwate, Anand and Netravali, Ravi},
      booktitle = {Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22)},
      cvcategory = {archival},
      month = apr,
      title = {Privid: Practical, Privacy-Preserving Video Analytics Queries},
      url = {https://www.usenix.org/conference/nsdi22/presentation/cangialosi},
      year = {2022},
    }
    
            

11. [Journal]

    Debbrata K Saha, Vince D Calhoun, Yuhui Du, Zening Fu, Soo Min Kwon, Anand D Sarwate, Sandeep R Panta, and Sergey M Plis, 

    Privacy-preserving quality control of neuroimaging datasets in federated environments

    Human Brain Mapping  43 Mar 2022

    .

    DOI URL Bib

            @article{SahaCDFKSPP:22ppdsne,
      author = {Saha, Debbrata K and Calhoun, Vince D and Du, Yuhui and Fu, Zening and Kwon, Soo Min and Sarwate, Anand D and Panta, Sandeep R and Plis, Sergey M},
      doi = {10.1002/hbm.25788},
      journal = {Human Brain Mapping},
      month = mar,
      pages = {2289---2310},
      title = {Privacy-preserving quality control of neuroimaging datasets in federated environments},
      url = {https://doi.org/10.1002/hbm.25788},
      year = {2022},
    }
    
            

12. [Conference]

    Ye Tao, Anis Chihoub, Anand D Sarwate, Sandeep Panta, and Vince Calhoun, 

    Privacy-Preserving Visualization of Functional Network Connectivity

    In International Conference of the IEEE Engineering in Medicine and Biology Society  2022

    .

    Bib

            @inproceedings{TaoCSPC:22embc,
      address = {Glasgow, Scotland, UK},
      author = {Tao, Ye and Chihoub, Anis and Sarwate, Anand D and Panta, Sandeep and Calhoun, Vince},
      booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society},
      title = {Privacy-Preserving Visualization of Functional Network Connectivity},
      year = {2022}
    }
    
            

2021

1. [Conference]

   Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, and Waheed U. Bajwa, 

   A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression

   In 2021 Asilomar Conference on Signals, Systems, and Computers  Nov 2021

   .

   DOI URL ArXiV Bib

           @inproceedings{TakiGSB:21minimaxLR,
     author = {Taki, Batoul and Ghassemi, Mohsen and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {2021 Asilomar Conference on Signals, Systems, and Computers},
     doi = {10.1109/IEEECONF53345.2021.9723149},
     month = nov,
     pages = {477--484},
     title = {A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression},
     url = {https://doi.org/10.1109/IEEECONF53345.2021.9723149},
     year = {2021},
   }
   
           

2. [Journal]

   Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva, Bradley Baker, Sergey M. Plis, Anand D. Sarwate, and Vince D. Calhoun, 

   A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

   IEEE Transactions on Signal Processing  69 Nov 2021

   .

   DOI URL Bib

           @article{ImtiazMSBPSC:21capedjica,
     author = {Imtiaz, Hafiz and Mohammadi, Jafar and Silva, Rogers and Baker, Bradley and Plis, Sergey M. and Sarwate, Anand D. and Calhoun, Vince D.},
     doi = {10.1109/TSP.2021.3126546},
     journal = {IEEE Transactions on Signal Processing},
     month = nov,
     pages = {6355--6370},
     title = {A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation},
     url = {https://doi.org/10.1109/TSP.2021.3126546},
     year = {2021},
   }
   
           

3. [Journal]

   Soo Min Kwon, and Anand D Sarwate, 

   Learning Predictors from Multidimensional Data with Tensor Factorizations

   Aresty Rutgers Undergraduate Research Journal  1 : (3),  Oct 2021

   .

   DOI URL Bib

           @article{Kwon:21aresty,
     author = {Kwon, Soo Min and Sarwate, Anand D},
     doi = {10.14713/arestyrurj.v1i3.165},
     journal = {Aresty Rutgers Undergraduate Research Journal},
     month = oct,
     number = {3},
     title = {Learning Predictors from Multidimensional Data with Tensor Factorizations},
     url = {https://doi.org/10.14713/arestyrurj.v1i3.165},
     year = {2021},
   }
   
           

4. [Journal]

   Gowtham R. Kurri, Vinod M. Prabhakaran, and Anand D. Sarwate, 

   Coordination Through Shared Randomness

   IEEE Transactions on Information Theory  67 : (8),  Aug 2021

   .

   DOI URL Bib

           @article{KurriPS:21coordination,
     author = {Kurri, Gowtham R. and Prabhakaran, Vinod M. and Sarwate, Anand D.},
     doi = {10.1109/TIT.2021.3091604},
     journal = {IEEE Transactions on Information Theory},
     month = aug,
     number = {8},
     pages = {4948--4974},
     title = {Coordination Through Shared Randomness},
     url = {https://doi.org/10.1109/TIT.2021.3091604},
     year = {2021},
   }
   
           

5. [Journal]

   Konstantinos E Nikolakakis, Dionysios S Kalogerias, Anand D Sarwate, and Or Sheffet, 

   Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme

   IEEE Journal on Selected Areas in Information Theory  2 : (2),  Jun 2021

   .

   DOI URL Bib

           @article{NikolakakisKSS:21quantile,
     author = {Nikolakakis, Konstantinos E and Kalogerias, Dionysios S and Sarwate, Anand D and Sheffet, Or},
     doi = {10.1109/JSAIT.2021.3081525},
     journal = {IEEE Journal on Selected Areas in Information Theory},
     month = jun,
     number = {2},
     pages = {534--548},
     title = {Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme},
     url = {https://doi.org/10.1109/JSAIT.2021.3081525},
     year = {2021},
   }
   
           

6. [Journal]

   Konstantinos E Nikolakakis, Dionysios S Kalogerias, and Anand D Sarwate, 

   Predictive Learning on Hidden Tree-Structured Ising Models

   Journal of Machine Learning Research  22 : (59),  Apr 2021

   .

   URL Bib

           @article{Nikolakakis21:ising,
     author = {Nikolakakis, Konstantinos E and Kalogerias, Dionysios S and Sarwate, Anand D},
     journal = {Journal of Machine Learning Research},
     month = apr,
     number = {59},
     pages = {1--82},
     title = {Predictive Learning on Hidden Tree-Structured {Ising} Models},
     url = {https://jmlr.org/papers/v22/19-149.html},
     year = {2021},
   }
   
           

7. [Conference]

   Aria Rezaie, Jie Gao, and Anand D. Sarwate, 

   Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes

   In SIAM International Conference on Data Mining  Apr 2021

   .

   DOI URL Bib

           @inproceedings{RezaieGS:21influencers,
     author = {Rezaie, Aria and Gao, Jie and Sarwate, Anand D.},
     booktitle = {SIAM International Conference on Data Mining},
     doi = {10.1137/1.9781611976700.25},
     editor = {Demeniconi, Carlotta and Davidson, Ian},
     month = apr,
     pages = {217--225},
     title = {Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes},
     url = {https://doi.org/10.1137/1.9781611976700.25},
     year = {2021},
   }
   
           

8. [ArXiV]

   Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, and Anand D. Sarwate, 

   Optimal Rates for Learning Hidden Tree Structures

   ArXiv preprint arXiv:1909.09596v4 [stat.ML]  Mar 2021

   .

   URL Bib

           @techreport{NikolakakisKS:21hidden,
     author = {Nikolakakis, Konstantinos E. and Kalogerias, Dionysios S. and Sarwate, Anand D.},
     institution = {ArXiV},
     month = mar,
     number = {arXiv:1909.09596v4 [stat.ML]},
     title = {Optimal Rates for Learning Hidden Tree Structures},
     url = {https://arxiv.org/abs/1909.09596},
     year = {2021},
   }
   
           

9. [Book Chapter]

   Zahra Shakeri, Anand D. Sarwate, and Waheed U. Bajwa, 

   Sample Complexity Bounds for Dictionary Learning from Vector- and Tensor-valued Data

   In Information-Theoretic Methods in Data Science  Mar 2021

   .

   DOI URL Bib

           @inbook{ShakeriSBbook,
     address = {Cambridge, UK},
     author = {Shakeri, Zahra and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {Information-Theoretic Methods in Data Science},
     chapter = {5},
     cvcategory = {books},
     doi = {10.1017/9781108616799.006},
     editor = {Rodrigues, Miguel and Eldar, Yonina C.},
     month = mar,
     pages = {134--162},
     publisher = {Cambridge University Press},
     title = {Sample Complexity Bounds for Dictionary Learning from Vector- and Tensor-valued Data},
     url = {https://doi.org/10.1017/9781108616799.006},
     year = {2021},
   }
   
           

10. [Journal]

    Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Sanjeev Jain, Rose Dawn Bharath, and 14 more authors

    Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis

    Neuroinformatics Jan 2021

    .

    DOI URL Bib

            @article{Gazula:21vbm,
      author = {Gazula, Harshvardhan and Holla, Bharath and Zhang, Zuo and Xu, Jiayuan and Verner, Eric and Kelly, Ross and Jain, Sanjeev and Bharath, Rose Dawn and Barker, Gareth J. and Basu, Debasish and Chakrabarti, Amit and Kalyanram, Kartik and Kumaran, Kalyanaraman and Singh, Lenin and Kuriyan, Rebecca and Murthy, Pratima and Benega, Vivek and Plis, Sergey M. and Sarwate, Anand D. and Turner, Jessica A. and Schumann, Gunter and Calhoun, Vince D.},
      doi = {10.1007/s12021-020-09502-7},
      journal = {Neuroinformatics},
      month = jan,
      title = {Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis},
      url = {https://doi.org/10.1007/s12021-020-09502-7},
      year = {2021},
    }
    
            

2020

1. [Journal]

   Harshvardhan Gazula, Ross Kelly, Javier Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata Kumar Saha, and 5 more authors

   COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

   Journal of Open Source Software  5 : (54),  Oct 2020

   .

   DOI URL Bib

           @article{Gazula:20joss,
     author = {Gazula, Harshvardhan and Kelly, Ross and Romero, Javier and Verner, Eric and Baker, Bradley T. and Silva, Rogers F. and Imtiaz, Hafiz and Saha, Debbrata Kumar and Raja, Rajikha and Turner, Jessica A. and Sarwate, Anand D. and Plis, Sergey M. and Calhoun, Vince D.},
     doi = {10.21105/joss.02166},
     journal = {Journal of Open Source Software},
     month = oct,
     number = {54},
     pages = {2166},
     publisher = {The Open Journal},
     title = {COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation},
     url = {https://doi.org/10.21105/joss.02166},
     year = {2020},
   }
   
           

2. [Conference]

   Amitalok J. Budkuley, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Carol Wang, 

   Symmetrizability for Myopic AVCs

   In Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT)  Jun 2020

   .

   DOI URL Bib

           @inproceedings{BukduleyDJLSW:20isit,
     author = {Budkuley, Amitalok J. and Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D. and Wang, Carol},
     booktitle = {Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT44484.2020.9174487},
     month = jun,
     title = {Symmetrizability for Myopic AVCs},
     url = {https://dx.doi.org/10.1109/ISIT44484.2020.9174487},
     year = {2020},
   }
   
           

3. [Journal]

   Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, and Rebecca N. Wright, 

   Understanding Privacy-Utility Tradeoffs Using Differentially Private Online Active Learning

   Journal of Privacy and Confidentiality  10 : (2),  Jun 2020

   .

   DOI URL Bib

           @article{BittnerBGRSW:20jpc,
     author = {Bittner, Daniel M. and Brito, Alejandro E. and Ghassemi, Mohsen and Rane, Shantanu and Sarwate, Anand D. and Wright, Rebecca N.},
     doi = {10.29012/jpc.720},
     journal = {Journal of Privacy and Confidentiality},
     month = jun,
     number = {2},
     title = {Understanding Privacy-Utility Tradeoffs Using Differentially Private Online Active Learning},
     url = {https://doi.org/10.29012/jpc.720},
     year = {2020},
   }
   
           

4. [Journal]

   Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, and Waheed U. Bajwa, 

   Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms

   IEEE Transactions on Signal Processing  68 : (1),  Jan 2020

   .

   DOI URL Bib

           @article{GhassemiSSB:20separable,
     author = {Ghassemi, Mohsen and Shakeri, Zahra and Sarwate, Anand D. and Bajwa, Waheed U.},
     doi = {10.1109/TSP.2019.2952046},
     journal = {IEEE Transactions on Signal Processing},
     month = jan,
     number = {1},
     pages = {33-48},
     title = {Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms},
     url = {https://dx.doi.org/10.1109/TSP.2019.2952046},
     year = {2020},
   }
   
           

2019

1. [Journal]

   Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, and Tommi Jaakkola, 

   High Dimensional Inference with Random Maximum A-Posteriori Perturbations

   IEEE Transactions on Information Theory  65 : (10),  Oct 2019

   .

   DOI URL Bib Local

           @article{HazanOSMJ:19perturbations,
     author = {Hazan, Tamir and Orabona, Francesco and Sarwate, Anand D. and Maji, Subhransu and Jaakkola, Tommi},
     doi = {10.1109/TIT.2019.2916805},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/HazanOSMJ19perturbation.pdf},
     month = oct,
     number = {10},
     pages = {6539--6560},
     title = {High Dimensional Inference with Random Maximum A-Posteriori Perturbations},
     url = {http://dx.doi.org/10.1109/TIT.2019.2916805},
     year = {2019},
   }
   
           

2. [Conference]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, Anand D. Sarwate, and Carol Wang, 

   The Interplay of Causality and Myopia in Adversarial Channel Models

   In Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)  Jul 2019

   .

   DOI URL Bib

           @inproceedings{DeyJLSW:19isit,
     address = {Paris, France},
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D. and Wang, Carol},
     booktitle = {Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2019.8849568},
     month = jul,
     title = {The Interplay of Causality and Myopia in Adversarial Channel Models},
     url = {https://dx.doi.org/10.1109/ISIT.2019.8849568},
     year = {2019},
   }
   
           

3. [Conference]

   Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, and Anand D. Sarwate, 

   Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning

   In Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)  Jul 2019

   .

   DOI URL Bib

           @inproceedings{GhassemiSBS:19isit,
     address = {Paris, France},
     author = {Ghassemi, Mohsen and Shakeri, Zahra and Bajwa, Waheed U. and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2019.8849698},
     month = jul,
     title = {Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning},
     url = {https://dx.doi.org/10.1109/ISIT.2019.8849698},
     year = {2019},
   }
   
           

4. [Conference]

   Hafiz Imtiaz, and Anand D. Sarwate, 

   Distributed Differentially Private Canonical Correlation Analysis

   In Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  May 2019

   .

   DOI URL Bib

           @inproceedings{ImtiazS:19icassp,
     address = {Brighton, UK},
     author = {Imtiaz, Hafiz and Sarwate, Anand D.},
     booktitle = {Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     doi = {10.1109/ICASSP.2019.8683252},
     month = may,
     pages = {3112--3116},
     title = {Distributed Differentially Private Canonical Correlation Analysis},
     url = {https://dx.doi.org/10.1109/ICASSP.2019.8683252},
     year = {2019},
   }
   
           

5. [Conference]

   Konstantinos Nikolakakis, Dionysios Kalogerias, and Anand D. Sarwate, 

   Learning Tree Structures from Noisy Data

   In Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS)  Apr 2019

   .

   URL Bib Local

           @incollection{NikolakakisKS:19treestructures,
     address = {Naha, Okinawa, Japan},
     author = {Nikolakakis, Konstantinos and Kalogerias, Dionysios and Sarwate, Anand D.},
     booktitle = {Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS)},
     cvcategory = {archival},
     editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
     local-url = {papers/NikolakakisKS19aistats.pdf},
     month = apr,
     pages = {1771--1782},
     publisher = {PMLR},
     series = {Proceedings of Machine Learning Research},
     title = {Learning Tree Structures from Noisy Data},
     url = {http://proceedings.mlr.press/v89/nikolakakis19a.html},
     year = {2019},
   }
   
           

6. [Journal]

   Bradley Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D Sarwate, Vince D Calhoun, and Sergey M Plis, 

   Decentralized Temporal Independent Component Analysis: Leveraging fMRI Data in Collaborative Settings

   NeuroImage  186 Feb 2019

   .

   DOI URL Bib Local

           @article{baker19djica,
     author = {Baker, Bradley and Abrol, Anees and Silva, Rogers F. and Damaraju, Eswar and Sarwate, Anand D and Calhoun, Vince D and Plis, Sergey M},
     doi = {10.1016/j.neuroimage.2018.10.072},
     journal = {NeuroImage},
     local-url = {papers/Baker19djica.pdf},
     month = feb,
     pages = {557--569},
     title = {Decentralized Temporal Independent Component Analysis: Leveraging {fMRI} Data in Collaborative Settings},
     url = {http://dx.doi.org/10.1016/j.neuroimage.2018.10.072},
     year = {2019},
   }
   
           

2018

1. [Journal]

   Hafiz Imtiaz, and Anand D. Sarwate, 

   Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization

   IEEE Journal of Selected Topics in Signal Processing  12 : (6),  Dec 2018

   .

   DOI URL Bib Local

           @article{ImtiazS:18dpmf,
     author = {Imtiaz, Hafiz and Sarwate, Anand D.},
     doi = {10.1109/JSTSP.2018.2877842},
     journal = {IEEE Journal of Selected Topics in Signal Processing},
     local-url = {papers/ImtiazS18dpmf.pdf},
     month = dec,
     number = {6},
     pages = {1449--1464},
     title = {Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization},
     url = {http://dx.doi.org/10.1109/JSTSP.2018.2877842},
     year = {2018},
   }
   
           

2. [Journal]

   Kousha Kalantari, Lalitha Sankar, and Anand D. Sarwate, 

   Robust Privacy-Utility Tradeoffs under Differential Privacy and Hamming Distortion

   IEEE Transactions on Information Forensics and Security  13 : (11),  Nov 2018

   .

   DOI URL Bib Local

           @article{KalantariSS:18tifs,
     author = {Kalantari, Kousha and Sankar, Lalitha and Sarwate, Anand D.},
     doi = {10.1109/TIFS.2018.2831619},
     journal = {IEEE Transactions on Information Forensics and Security},
     local-url = {papers/KalantariSS18rdprivacy.pdf},
     month = nov,
     number = {11},
     pages = {2816--2830},
     title = {Robust Privacy-Utility Tradeoffs under Differential Privacy and {H}amming Distortion},
     url = {http://dx.doi.org/10.1109/TIFS.2018.2831619},
     year = {2018},
   }
   
           

3. [Journal]

   Zahra Shakeri, Anand D Sarwate, and Waheed U. Bajwa, 

   Identifiability of Kronecker-Structured Dictionaries for Tensor Data

   IEEE Journal of Selected Topics in Signal Processing  12 : (5),  Oct 2018

   .

   DOI URL Bib Local

           @article{ShakeriSB:18identifiability,
     author = {Shakeri, Zahra and Sarwate, Anand D and Bajwa, Waheed U.},
     doi = {10.1109/JSTSP.2018.2838092},
     journal = {IEEE Journal of Selected Topics in Signal Processing},
     local-url = {papers/ShakeriSB18ksid.pdf},
     month = oct,
     number = {5},
     pages = {1047--1062},
     title = {Identifiability of {K}ronecker-Structured Dictionaries for Tensor Data},
     url = {http://dx.doi.org/10.1109/JSTSP.2018.2838092},
     year = {2018},
   }
   
           

4. [Journal]

   Anusha Lalitha, Tara Javidi, and Anand D. Sarwate, 

   Social Learning and Distributed Hypothesis Testing

   IEEE Transactions on Information Theory  64 : (9),  Sep 2018

   .

   DOI URL Bib Local

           @article{LalithaJS:18hypothesis,
     author = {Lalitha, Anusha and Javidi, Tara and Sarwate, Anand D.},
     doi = {10.1109/TIT.2018.2837050},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/LalithaJSdht.pdf},
     month = sep,
     number = {9},
     pages = {6161--6179},
     title = {Social Learning and Distributed Hypothesis Testing},
     url = {http://dx.doi.org/10.1109/TIT.2018.2837050},
     year = {2018},
   }
   
           

5. [Conference]

   Yihan Zhang, Shashank Vatedka, Sidharth Jaggi, and Anand D. Sarwate, 

   Quadratically Constrained Myopic Adversarial Channels

   In Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)  Jun 2018

   .

   DOI URL Bib

           @inproceedings{ZhangVJS:18quad_myop,
     address = {Vail, Colorado, USA},
     author = {Zhang, Yihan and Vatedka, Shashank and Jaggi, Sidharth and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2018.8437457},
     month = jun,
     pages = {611--615},
     title = {Quadratically Constrained Myopic Adversarial Channels},
     url = {https://dx.doi.org/10.1109/ISIT.2018.8437457},
     year = {2018},
   }
   
           

6. [Conference]

   Tongxin Li, Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate, 

   Quadratically Constrained Channels with Causal Adversaries

   In Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)  Jun 2018

   .

   DOI URL ArXiV Bib

           @inproceedings{LiDJLS:18quad_isit,
     address = {Vail, Colorado, USA},
     author = {Li, Tongxin and Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2018.8437839},
     month = jun,
     pages = {621--625},
     title = {Quadratically Constrained Channels with Causal Adversaries},
     url = {https://dx.doi.org/10.1109/ISIT.2018.8437839},
     year = {2018},
   }
   
           

7. [Conference]

   Gowtham R. Kurri, Vinod M. Prabhakaran, and Anand D. Sarwate, 

   Coordination Using Individually Shared Randomness

   In Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)  Jun 2018

   .

   DOI URL Bib

           @inproceedings{KurriPS:18coord_isit,
     address = {Vail, Colorado, USA},
     author = {Kurri, Gowtham R. and Prabhakaran, Vinod M. and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2018.8437316},
     month = jun,
     pages = {2550--2554},
     title = {Coordination Using Individually Shared Randomness},
     url = {https://dx.doi.org/10.1109/ISIT.2018.8437316},
     year = {2018},
   }
   
           

8. [Conference]

   Daniel Bittner, Anand D. Sarwate, and Rebecca Wright, 

   Using Noisy Binary Search for Differentially Private Anomaly Detection

   In Proceedings of the 2nd International Symposium on Cyber Security Cryptography and Machine Learning (CSCML)  Jun 2018

   .

   DOI URL Bib

           @incollection{BittnerSW:18cscsml,
     author = {Bittner, Daniel and Sarwate, Anand D. and Wright, Rebecca},
     booktitle = {Proceedings of the 2nd International Symposium on Cyber Security Cryptography and Machine Learning (CSCML)},
     doi = {10.1007/978-3-319-94147-9\_3},
     editor = {Dinur, Itai and Dolev, Shlomi and Lodha, Schin},
     month = jun,
     pages = {20--37},
     publisher = {Springer},
     series = {Lecture Notes in Computer Science},
     title = {Using Noisy Binary Search for Differentially Private Anomaly Detection},
     url = {https://dx.doi.org/10.1007/978-3-319-94147-9_3},
     year = {2018},
     bdsk-url-2 = {https://dx.doi.org/10.1007/978-3-319-94147-9%5C_3}
   }
   
           

9. [Conference]

   Hafiz Imtiaz, and Anand D. Sarwate, 

   Differentially Private Distributed Principal Component Analysis

   In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Apr 2018

   .

   DOI URL Bib

           @inproceedings{ImtiazS:18dpca,
     address = {Calgary, AB, Canada},
     author = {Imtiaz, Hafiz and Sarwate, Anand D.},
     booktitle = {Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     doi = {10.1109/ICASSP.2018.8462519},
     month = apr,
     pages = {2206--2210},
     title = {Differentially Private Distributed Principal Component Analysis},
     url = {https://dx.doi.org/10.1109/ICASSP.2018.8462519},
     year = {2018},
   }
   
           

10. [Conference]

    Sijie Xiong, Anand D. Sarwate, and Narayan B. Mandayam, 

    Defending Against Packet-Size Side-Channel Attacks in IoT Networks

    In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Apr 2018

    .

    DOI URL Bib

            @inproceedings{XiongSM:18iot,
      address = {Calgary, AB, Canada},
      author = {Xiong, Sijie and Sarwate, Anand D. and Mandayam, Narayan B.},
      booktitle = {Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      doi = {10.1109/ICASSP.2018.8461330},
      month = apr,
      pages = {2027--2031},
      title = {Defending Against Packet-Size Side-Channel Attacks in {IoT} Networks},
      url = {https://dx.doi.org/10.1109/ICASSP.2018.8461330},
      year = {2018},
    }
    
            

11. [Conference]

    Mohsen Ghassemi, Naveen Goela, and Anand D. Sarwate, 

    Global Optimality in Inductive Matrix Completion

    In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Apr 2018

    .

    DOI URL Bib

            @inproceedings{GhassemiGS:18imc,
      address = {Calgary, AB, Canada},
      author = {Ghassemi, Mohsen and Goela, Naveen and Sarwate, Anand D.},
      booktitle = {Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      doi = {10.1109/ICASSP.2018.8462250},
      month = apr,
      pages = {2226--2230},
      title = {Global Optimality in Inductive Matrix Completion},
      url = {https://dx.doi.org/10.1109/ICASSP.2018.8462250},
      year = {2018},
    }
    
            

12. [Conference]

    Hafiz Imtiaz, and Anand D. Sarwate, 

    Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition

    In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Apr 2018

    .

    DOI URL Bib

            @inproceedings{ImtiazS:18otd,
      address = {Calgary, AB, Canada},
      author = {Imtiaz, Hafiz and Sarwate, Anand D.},
      booktitle = {Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      doi = {10.1109/ICASSP.2018.8461303},
      month = apr,
      pages = {2201--2205},
      title = {Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition},
      url = {https://dx.doi.org/10.1109/ICASSP.2018.8461303},
      year = {2018},
    }
    
            

13. [Journal]

    Zahra Shakeri, Waheed U. Bajwa, and Anand D. Sarwate, 

    Minimax Lower Bounds on Dictionary Learning for Tensor Data

    IEEE Transactions on Information Theory  64 : (4),  Apr 2018

    .

    DOI URL Bib Local

            @article{ShakeriBS:18ks_minimax,
      author = {Shakeri, Zahra and Bajwa, Waheed U. and Sarwate, Anand D.},
      doi = {10.1109/TIT.2018.2799931},
      journal = {IEEE Transactions on Information Theory},
      local-url = {papers/ShakeriBS18ksminimax.pdf},
      month = apr,
      number = {4},
      pages = {2706--2726},
      title = {Minimax Lower Bounds on Dictionary Learning for Tensor Data},
      url = {http://dx.doi.org/10.1109/TIT.2018.2799931},
      year = {2018},
    }
    
            

2017

1. [Conference]

   Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, and Waheed U. Bajwa, 

   STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery

   In Proceedings of the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  Dec 2017

   .

   DOI URL Bib

           @inproceedings{GhassemiSSB:17camsap,
     address = {Cura\c{c}ao, Netherlands Antilles},
     author = {Ghassemi, Mohsen and Shakeri, Zahra and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {Proceedings of the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
     doi = {10.1109/CAMSAP.2017.8313164},
     month = dec,
     pages = {1--5},
     title = {{STARK}: Structured Dictionary Learning Through Rank-one Tensor Recovery},
     url = {http://dx.doi.org/10.1109/CAMSAP.2017.8313164},
     year = {2017},
   }
   
           

2. [Conference]

   Zahra Shakeri, Anand D. Sarwate, and Waheed U. Bajwa, 

   Identification of Kronecker-structured dictionaries: An asymptotic analysis

   In Proceedings of the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  Dec 2017

   .

   DOI URL ArXiV Bib

           @inproceedings{ShakeriSB:17camsap,
     address = {Cura\c{c}ao, Netherlands Antilles},
     author = {Shakeri, Zahra and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {Proceedings of the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
     doi = {10.1109/CAMSAP.2017.8313163},
     month = dec,
     pages = {1--5},
     title = {Identification of {K}ronecker-structured dictionaries: An asymptotic analysis},
     url = {http://dx.doi.org/10.1109/CAMSAP.2017.8313163},
     year = {2017},
   }
   
           

3. [Conference]

   Hafiz Imtiaz, and Anand D. Sarwate, 

   Differentially Private Canonical Correlation Analysis

   In Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)  Nov 2017

   .

   DOI URL Bib

           @inproceedings{ImtiazS:17globalsip,
     address = {Montreal, QC, Canada},
     author = {Imtiaz, Hafiz and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
     doi = {10.1109/GlobalSIP.2017.8308649},
     month = nov,
     pages = {283 --287},
     title = {Differentially Private Canonical Correlation Analysis},
     url = {http://dx.doi.org/10.1109/GlobalSIP.2017.8308649},
     year = {2017},
   }
   
           

4. [Conference]

   Bangtian Liu, Chengyao Wen, Anand D. Sarwate, and Maryam Mehri Dehnavi, 

   A Unified Optimization Approach for Sparse Tensor Operations on GPUs

   In Proceedings of the 2017 IEEE International Conference on Cluster Computing (CLUSTER)  Sep 2017

   .

   DOI URL Bib

           @inproceedings{LiuWSD:17cluster,
     address = {Honolulu, HI, USA},
     author = {Liu, Bangtian and Wen, Chengyao and Sarwate, Anand D. and Dehnavi, Maryam Mehri},
     booktitle = {Proceedings of the 2017 IEEE International Conference on Cluster Computing (CLUSTER)},
     doi = {10.1109/CLUSTER.2017.75},
     month = sep,
     pages = {47--57},
     title = {A Unified Optimization Approach for Sparse Tensor Operations on {GPUs}},
     url = {http://dx.doi.org/10.1109/CLUSTER.2017.75},
     year = {2017},
   }
   
           

5. [Journal]

   Avleen Bijral, Anand D. Sarwate, and Nathan Srebro, 

   Data Dependent Convergence For Consensus Stochastic Optimization

   IEEE Transactions on Automatic Control  62 : (9),  Sep 2017

   .

   DOI URL Bib Local

           @article{BijralSS:17distopt,
     author = {Bijral, Avleen and Sarwate, Anand D. and Srebro, Nathan},
     doi = {10.1109/TAC.2017.2671377},
     journal = {IEEE Transactions on Automatic Control},
     local-url = {papers/BijralSS17datadependence.pdf},
     month = sep,
     number = {9},
     pages = {4483--4498},
     title = {Data Dependent Convergence For Consensus Stochastic Optimization},
     url = {http://doi.org/10.1109/TAC.2017.2671377},
     year = {2017},
   }
   
           

6. [Journal]

   J. Ming, E. Verner, A. Sarwate, R. Kelly, C. Reed, T. Kahleck, R. Silva, S. Panta, and 3 more authors

   COINSTAC: Decentralizing the future of brain imaging analysis

   F1000Research  6 : (1512),  Aug 2017

   .

   DOI URL Bib Local

           @article{Ming17:coinstac,
     author = {Ming, J. and Verner, E. and Sarwate, A. and Kelly, R. and Reed, C. and Kahleck, T. and Silva, R. and Panta, S. and Turner, J. and Plis, S. and Calhoun, V.},
     doi = {10.12688/f1000research.12353.1},
     journal = {F1000Research},
     local-url = {papers/MingVSKRKSPTPC17coinstac.pdf},
     month = aug,
     number = {1512},
     title = {{COINSTAC}: Decentralizing the future of brain imaging analysis},
     url = {http://dx.doi.org/10.12688/f1000research.12353.1},
     year = {2017},
   }
   
           

7. [Conference]

   Zahra Shakeri, Waheed U. Bajwa, and Anand D. Sarwate, 

   Sample Complexity Bounds for Dictionary Learning of Tensor Data

   In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Mar 2017

   .

   DOI URL Bib

           @inproceedings{ShakeriBS:17icassp,
     address = {New Orleans, LA, USA},
     author = {Shakeri, Zahra and Bajwa, Waheed U. and Sarwate, Anand D.},
     booktitle = {Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     doi = {10.1109/ICASSP.2017.7953008},
     month = mar,
     pages = {4501--4505},
     title = {Sample Complexity Bounds for Dictionary Learning of Tensor Data},
     url = {https://dx.doi.org/10.1109/ICASSP.2017.7953008},
     year = {2017},
   }
   
           

8. [Conference]

   Nikolas Wojtalewicz, Rogers Silva, Vince Calhoun, Anand Sarwate, and Sergey Plis, 

   Decentralized Independent Vector Analysis

   In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Mar 2017

   .

   DOI URL Bib

           @inproceedings{WojtalewiczSCSP:17icassp,
     address = {New Orleans, LA, USA},
     author = {Wojtalewicz, Nikolas and Silva, Rogers and Calhoun, Vince and Sarwate, Anand and Plis, Sergey},
     booktitle = {Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     doi = {10.1109/ICASSP.2017.7952271},
     month = mar,
     pages = {826--830},
     title = {Decentralized Independent Vector Analysis},
     url = {http://dx.doi.org/10.1109/ICASSP.2017.7952271},
     year = {2017},
   }
   
           

2016

1. [Journal]

   Neal D. Goldstein, and Anand D. Sarwate, 

   Privacy, security, and the public health researcher in the era of electronic health record research

   Online Journal of Public Health Informatics  8 : (3),  Dec 2016

   .

   DOI URL Bib Local

           @article{GoldsteinS:16ojphi,
     author = {Goldstein, Neal D. and Sarwate, Anand D.},
     doi = {10.5210/ojphi.v8i3.7251},
     journal = {Online Journal of Public Health Informatics},
     local-url = {papers/GoldsteinS16health.pdf},
     month = dec,
     number = {3},
     pages = {e207},
     title = {Privacy, security, and the public health researcher in the era of electronic health record research},
     url = {http://dx.doi.org/10.5210/ojphi.v8i3.7251},
     year = {2016},
   }
   
           

2. [Conference]

   Lu Wei, Anand D. Sarwate, Jukka Corander, Alfred Hero, and Vahid Tarokh, 

   Analysis of a Privacy-preserving PCA Algorithm using Random Matrix Theory

   In Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)  Dec 2016

   .

   DOI URL Bib

           @inproceedings{WeiSCHT:16globalsip,
     address = {Washington, DC, USA},
     author = {Wei, Lu and Sarwate, Anand D. and Corander, Jukka and Hero, Alfred and Tarokh, Vahid},
     booktitle = {Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
     doi = {10.1109/GlobalSIP.2016.7906058},
     month = dec,
     pages = {1335--1339},
     title = {Analysis of a Privacy-preserving {PCA} Algorithm using Random Matrix Theory},
     url = {http://dx.doi.org/10.1109/GlobalSIP.2016.7906058},
     year = {2016},
   }
   
           

3. [Conference]

   Mohsen Ghassemi, Anand D. Sarwate, and Rebecca Wright, 

   Differentially Private Online Active Learning with Applications to Anomaly Detection

   In Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security (AISec)  Oct 2016

   .

   DOI URL Bib

           @inproceedings{GhassemiSW:16aisec,
     address = {Vienna, Austria},
     author = {Ghassemi, Mohsen and Sarwate, Anand D. and Wright, Rebecca},
     booktitle = {Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security (AISec)},
     doi = {10.1145/2996758.2996766},
     month = oct,
     pages = {117--128},
     title = {Differentially Private Online Active Learning with Applications to Anomaly Detection},
     url = {http://dx.doi.org/10.1145/2996758.2996766},
     year = {2016},
   }
   
           

4. [Conference]

   Avleen Bijral, Anand D. Sarwate, and Nathan Srebro, 

   Data-Dependent Bounds on Network Gradient Descent

   In Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing  Sep 2016

   .

   DOI URL Bib

           @inproceedings{BijralSS:16allerton,
     address = {Monticello, IL, USA},
     author = {Bijral, Avleen and Sarwate, Anand D. and Srebro, Nathan},
     booktitle = {Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing},
     doi = {10.1109/ALLERTON.2016.7852325},
     month = sep,
     pages = {869--874},
     title = {Data-Dependent Bounds on Network Gradient Descent},
     url = {http://dx.doi.org/10.1109/ALLERTON.2016.7852325},
     year = {2016},
   }
   
           

5. [Journal]

   Sergey Plis, Anand D. Sarwate, Dylan Wood, Christopher Dieringer, Drew Landis, Cory Reed, Sandeep R. Panta, Jessica A. Turner, and 5 more authors

   COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data

   Frontiers in Neuroscience  10 : (365),  Aug 2016

   .

   DOI URL Bib Local

           @article{Plis:16coinstac,
     author = {Plis, Sergey and Sarwate, Anand D. and Wood, Dylan and Dieringer, Christopher and Landis, Drew and Reed, Cory and Panta, Sandeep R. and Turner, Jessica A. and Shoemaker, Jody M. and Carter, Kim W. and Thompson, Paul and Hutchison, Kent and Calhoun, Vince D.},
     doi = {10.3389/fnins.2016.00365},
     journal = {Frontiers in Neuroscience},
     local-url = {papers/PlisSWDLRPTSCTHC16coinstac.pdf},
     month = aug,
     number = {365},
     title = {{COINSTAC}: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data},
     url = {http://dx.doi.org/10.3389/fnins.2016.00365},
     year = {2016},
   }
   
           

6. [Conference]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate, 

   A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures

   In Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)  Jul 2016

   .

   DOI URL ArXiV Bib

           @inproceedings{DeyJLS:16isit,
     address = {Barcelona, Spain},
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2016.7541425},
     month = jul,
     pages = {880--884},
     title = {A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures},
     url = {http://dx.doi.org/10.1109/ISIT.2016.7541425},
     year = {2016},
   }
   
           

7. [Conference]

   Zahra Shakeri, Waheed U. Bajwa, and Anand D. Sarwate, 

   Minimax Lower Bounds for Kronecker-Structured Dictionary Learning

   In Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)  Jul 2016

   .

   DOI URL Bib

           @inproceedings{ShakeriBS:16isit,
     address = {Barcelona, Spain},
     author = {Shakeri, Zahra and Bajwa, Waheed U. and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2016.7541479},
     month = jul,
     pages = {1148--1152},
     title = {Minimax Lower Bounds for {K}ronecker-Structured Dictionary Learning},
     url = {http://dx.doi.org/10.1109/ISIT.2016.7541479},
     year = {2016},
   }
   
           

8. [Conference]

   Kousha Kalantari, Lalitha Sankar, and Anand D. Sarwate, 

   Optimal Differential Privacy Mechanisms under Hamming Distortion for Structured Source Classes

   In Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)  Jul 2016

   .

   DOI URL Bib

           @inproceedings{KalantaiSS:16isit,
     address = {Barcelona, Spain},
     author = {Kalantari, Kousha and Sankar, Lalitha and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2016.7541663},
     month = jul,
     pages = {2069--2073},
     title = {Optimal Differential Privacy Mechanisms under {H}amming Distortion for Structured Source Classes},
     url = {http://dx.doi.org/10.1109/ISIT.2016.7541663},
     year = {2016},
   }
   
           

9. [Conference]

   Hafiz Imtiaz, Rogers Silva, Bradley Baker, Sergey M. Plis, Anand D. Sarwate, and Vince D. Calhoun, 

   Privacy-preserving source separation for distributed data using independent component analysis

   In Proceedings of the 2016 Annual Conference on Information Science and Systems (CISS)  Mar 2016

   .

   DOI URL Bib

           @inproceedings{ImtiazSBSC:16ciss,
     address = {Princeton, NJ, USA},
     author = {Imtiaz, Hafiz and Silva, Rogers and Baker, Bradley and Plis, Sergey M. and Sarwate, Anand D. and Calhoun, Vince D.},
     booktitle = {Proceedings of the 2016 Annual Conference on Information Science and Systems (CISS)},
     doi = {10.1109/CISS.2016.7460488},
     month = mar,
     pages = {123--127},
     title = {Privacy-preserving source separation for distributed data using independent component analysis},
     url = {http://dx.doi.org/10.1109/CISS.2016.7460488},
     year = {2016},
   }
   
           

10. [Conference]

    Sijie Xiong, Anand D. Sarwate, and Narayan B. Mandayam, 

    Randomized Requantization with Local Differential Privacy

    In Proceedings of the 2016 International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Mar 2016

    .

    DOI URL Bib

            @inproceedings{XiongSM:16icassp,
      address = {Shanghai, China},
      author = {Xiong, Sijie and Sarwate, Anand D. and Mandayam, Narayan B.},
      booktitle = {Proceedings of the 2016 International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      doi = {10.1109/ICASSP.2016.7472065},
      month = mar,
      pages = {2189--2193},
      title = {Randomized Requantization with Local Differential Privacy},
      url = {http://dx.doi.org/10.1109/ICASSP.2016.7472065},
      year = {2016},
    }
    
            

11. [Conference]

    Liyang Xie, Sergey M. Plis, and Anand Sarwate, 

    Data Weighted Ensemble Learning for Privacy-Preserving Distributed Learning

    In Proceedings of the 2006 International Conference on Acoustics, Speech and Signal Processing (ICASSP)  Mar 2016

    .

    DOI URL Bib

            @inproceedings{XiePS:16icassp,
      address = {Shanghai, China},
      author = {Xie, Liyang and Plis, Sergey M. and Sarwate, Anand},
      booktitle = {Proceedings of the 2006 International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
      doi = {10.1109/ICASSP.2016.7472089},
      month = mar,
      pages = {2309--2313},
      title = {Data Weighted Ensemble Learning for Privacy-Preserving Distributed Learning},
      url = {http://dx.doi.org/10.1109/ICASSP.2016.7472089},
      year = {2016},
    }
    
            

12. [Journal]

    Chong Huang, Lalitha Sankar, and Anand D. Sarwate, 

    Designing Incentive Schemes For Privacy-Sensitive Users

    Journal of Privacy and Confidentiality  7 : (1),  Mar 2016

    .

    URL Bib Local

            @article{HuangSS:16incentive,
      author = {Huang, Chong and Sankar, Lalitha and Sarwate, Anand D.},
      journal = {Journal of Privacy and Confidentiality},
      local-url = {papers/HuangSS16sensitive.pdf},
      month = mar,
      number = {1},
      pages = {99--127},
      title = {Designing Incentive Schemes For Privacy-Sensitive Users},
      url = {http://repository.cmu.edu/jpc/vol7/iss1/5/},
      year = {2016},
    }
    
            

2015

1. [Conference]

   Avhishek Chatterjee, Anand D. Sarwate, and Sriram Vishwanath, 

   Generalized Opinion Dynamics from Local Optimization Rules

   In Proceedings of the 49th Asilomar Conference on Signals, Systems, and Computers  Nov 2015

   .

   DOI URL ArXiV Bib

           @inproceedings{ChatterjeeSV:15asilomar,
     address = {Pacific Grove, CA, USA},
     author = {Chatterjee, Avhishek and Sarwate, Anand D. and Vishwanath, Sriram},
     booktitle = {Proceedings of the 49th Asilomar Conference on Signals, Systems, and Computers},
     doi = {10.1109/ACSSC.2015.7421304},
     month = nov,
     pages = {1075--1079},
     title = {Generalized Opinion Dynamics from Local Optimization Rules},
     url = {http://dx.doi.org/10.1109/ACSSC.2015.7421304},
     year = {2015},
   }
   
           

2. [Conference]

   Chong Huang, Lalitha Sankar, and Anand D. Sarwate, 

   Incentive Schemes For Privacy-Sensitive Consumers

   In Decision and Game Theory for Security  Nov 2015

   .

   DOI URL Bib Local

           @incollection{HuangSS:15gamesec,
     address = {Cham, Switzerland},
     author = {Huang, Chong and Sankar, Lalitha and Sarwate, Anand D.},
     booktitle = {Decision and Game Theory for Security},
     doi = {10.1007/978-3-319-25594-1_21},
     editor = {Khouzani, M.H.R. and Panaousis, Emmanouil and Theodorakopoulos, George},
     local-url = {papers/HuangLS15gamesec.pdf},
     month = nov,
     number = {9406},
     pages = {358--369},
     publisher = {Springer},
     series = {Lecture Notes in Computer Science},
     title = {Incentive Schemes For Privacy-Sensitive Consumers},
     url = {http://dx.doi.org/10.1007/978-3-319-25594-1_21},
     year = {2015},
   }
   
           

3. [Conference]

   Mohsen Ghassemi, and Anand D. Sarwate, 

   Distributed Proportional Stochastic Coordinate Descent with Social Sampling

   In Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing  Sep 2015

   .

   DOI URL Bib

           @inproceedings{GhassemiS:15pscd,
     address = {Monticello, IL, USA},
     author = {Ghassemi, Mohsen and Sarwate, Anand D.},
     booktitle = {Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing},
     doi = {10.1109/ALLERTON.2015.7446981},
     month = sep,
     pages = {17--24},
     title = {Distributed Proportional Stochastic Coordinate Descent with Social Sampling},
     url = {http://dx.doi.org/10.1109/ALLERTON.2015.7446981},
     year = {2015},
   }
   
           

4. [Conference]

   Bradley Baker, Rogers Silva, Vince D. Calhoun, Anand D. Sarwate, and Sergey Plis, 

   Large scale collaboration with autonomy: decentralized data ICA

   In Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP)  Sep 2015

   .

   DOI URL Bib

           @inproceedings{BakerSCSP:15mlsp,
     address = {Boston, MA, USA},
     author = {Baker, Bradley and Silva, Rogers and Calhoun, Vince D. and Sarwate, Anand D. and Plis, Sergey},
     booktitle = {Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP)},
     doi = {10.1109/MLSP.2015.7324344},
     month = sep,
     pages = {1--6},
     title = {Large scale collaboration with autonomy: decentralized data {ICA}},
     url = {http://dx.doi.org/10.1109/MLSP.2015.7324344},
     year = {2015},
   }
   
           

5. [Conference]

   Shuang Song, Kamalika Chaudhuri, and Anand D. Sarwate, 

   Learning from Data with Heterogeneous Noise using SGD

   In Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics (AISTATS)  May 2015

   .

   URL ArXiV Bib

           @incollection{SongCS:15aistats,
     address = {San Diego, California, USA},
     author = {Song, Shuang and Chaudhuri, Kamalika and Sarwate, Anand D.},
     booktitle = {Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics (AISTATS)},
     cvcategory = {archival},
     editor = {Lebanon, Guy and Vishwanathan, S. V. N.},
     month = may,
     pages = {894--902},
     publisher = {PMLR},
     series = {Proceedings of Machine Learning Research},
     title = {Learning from Data with Heterogeneous Noise using {SGD}},
     url = {http://jmlr.org/proceedings/papers/v38/song15.html},
     year = {2015},
   }
   
           

6. [Conference]

   Tong Wu, Anand D. Sarwate, and Waheed U. Bajwa, 

   Active dictionary learning for image representation

   In Unmanned Systems Technology XVII  May 2015

   .

   DOI URL Bib Local

           @incollection{WuSB:15spie,
     author = {Wu, Tong and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {Unmanned Systems Technology XVII},
     doi = {10.1117/12.2180018},
     editor = {Karlsen, Robert E. and Gage, Douglas W. and Shoemaker, Charles M. and Gerhart, Grant R.},
     local-url = {papers/WuSB15spie.pdf},
     month = may,
     number = {946809},
     pages = {1--10},
     publisher = {SPIE},
     series = {Proceedings of SPIE},
     title = {Active dictionary learning for image representation},
     url = {http://dx.doi.org/10.1117/12.2180018},
     year = {2015},
   }
   
           

7. [Journal]

   Anand D. Sarwate, and Tara Javidi, 

   Distributed Learning of Distributions via Social Sampling

   IEEE Transactions on Automatic Control  60 : (1),  Jan 2015

   .

   DOI URL Bib Local

           @article{SarwateJ:15social,
     author = {Sarwate, Anand D. and Javidi, Tara},
     doi = {10.1109/TAC.2014.2329611},
     journal = {IEEE Transactions on Automatic Control},
     local-url = {papers/SarwateJ15social.pdf},
     month = jan,
     number = {1},
     pages = {34--45},
     title = {Distributed Learning of Distributions via Social Sampling},
     url = {http://dx.doi.org/10.1109/TAC.2014.2329611},
     year = {2015},
   }
   
           

2014

1. [Conference]

   Vamsi K. Potluru, Javier Diaz-Montes, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun, Barak A. Pearlmutter, and Manish Parashar, 

   CometCloudCare (C^3): Distributed Machine Learning Platform-as-a-Service with Privacy Preservation

   In NIPS 2014 Workshop on Distributed Machine Learning and Matrix Computations  Dec 2014

   .

   URL Bib

           @inproceedings{PotluruDSPCPP:14ccc,
     address = {Montreal, Canada},
     author = {Potluru, Vamsi K. and Diaz-Montes, Javier and Sarwate, Anand D. and Plis, Sergey M. and Calhoun, Vince D. and Pearlmutter, Barak A. and Parashar, Manish},
     booktitle = {NIPS 2014 Workshop on Distributed Machine Learning and Matrix Computations},
     month = dec,
     pages = {1--9},
     title = {{CometCloudCare ($C^3$)}: Distributed Machine Learning Platform-as-a-Service with Privacy Preservation},
     url = {http://stanford.edu/~rezab/nips2014workshop/submits/privacynmf.pdf},
     year = {2014},
   }
   
           

2. [Journal]

   Narayana P. Santhanam, Anand D. Sarwate, and Jae Oh Woo, 

   Redundancy of Exchangeable Estimators

   Entropy  16 : (10),  Oct 2014

   .

   DOI URL Bib Local

           @article{SanthanarmSW:14exch,
     author = {Santhanam, Narayana P. and Sarwate, Anand D. and Woo, Jae Oh},
     doi = {10.3390/e16105339},
     journal = {Entropy},
     local-url = {papers/SanthanamSW14exch.pdf},
     month = oct,
     number = {10},
     pages = {5339--5357},
     title = {Redundancy of Exchangeable Estimators},
     url = {http://dx.doi.org/10.3390/e16105339},
     year = {2014},
   }
   
           

3. [Conference]

   Anand D. Sarwate, and Lalitha Sankar, 

   A Rate-Disortion [sic] Perspective on Local Differential Privacy

   In Proceedings of the 52nd Annual Allerton Conference on Communication, Control and Computation  Sep 2014

   .

   DOI URL Bib Local

           @inproceedings{SarwateS:14dprd,
     address = {Monticello, IL, USA},
     author = {Sarwate, Anand D. and Sankar, Lalitha},
     booktitle = {Proceedings of the 52nd Annual Allerton Conference on Communication, Control and Computation},
     doi = {10.1109/ALLERTON.2014.7028550},
     local-url = {papers/SarwateS14allerton.pdf},
     month = sep,
     title = {A Rate-Disortion [sic] Perspective on Local Differential Privacy},
     url = {http://dx.doi.org/10.1109/ALLERTON.2014.7028550},
     year = {2014},
   }
   
           

4. [Conference]

   Konstantinos I. Tsianos, Anand D. Sarwate, and Michael G. Rabbat, 

   Tradeoffs For Task Parallelization In Distributed Optimization

   In Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP)  Sep 2014

   .

   DOI URL Bib Local

           @inproceedings{TsianosSR:14mlsp,
     address = {Reims, France},
     author = {Tsianos, Konstantinos I. and Sarwate, Anand D. and Rabbat, Michael G.},
     booktitle = {Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP)},
     doi = {10.1109/MLSP.2014.6958904},
     local-url = {papers/TsianosSR14mlsp.pdf},
     month = sep,
     pages = {1--6},
     title = {Tradeoffs For Task Parallelization In Distributed Optimization},
     url = {http://dx.doi.org/10.1109/MLSP.2014.6958904},
     year = {2014},
   }
   
           

5. [Conference]

   Anusha Lalitha, Anand D. Sarwate, and Tara Javidi, 

   Social Learning and Distributed Hypothesis Testing

   In Proceedings of the 2014 IEEE International Symposium on Information Theory (ISIT)  Jun 2014

   .

   DOI URL Bib Local

           @inproceedings{LalithaSJ:14isit,
     address = {Honolulu, HI, USA},
     author = {Lalitha, Anusha and Sarwate, Anand D. and Javidi, Tara},
     booktitle = {Proceedings of the 2014 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2014.6874893},
     local-url = {papers/LalithaSJ14isit.pdf},
     month = jun,
     pages = {551--555},
     title = {Social Learning and Distributed Hypothesis Testing},
     url = {http://dx.doi.org/10.1109/ISIT.2014.6874893},
     year = {2014},
   }
   
           

6. [Conference]

   Francesco Orabona, Tamir Hazan, Anand D. Sarwate, and Tommi Jaakkola, 

   On Measure Concentration of Random Maximum A-Posteriori Perturbations

   In Proceedings of the 31st International Conference on Machine Learning (ICML)  Jun 2014

   .

   URL ArXiV Bib Local

           @incollection{OrabonaHSJ:14icml,
     address = {Beijing, China},
     author = {Orabona, Francesco and Hazan, Tamir and Sarwate, Anand D. and Jaakkola, Tommi},
     booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML)},
     cvcategory = {archival},
     editor = {Xing, Eric P. and Jebara, Tony},
     local-url = {papers/OrabonaHSJ13icml.pdf},
     month = jun,
     pages = {432--440},
     publisher = {PLMR},
     series = {JMLR Workshop and Conference Proceedings},
     title = {On Measure Concentration of Random Maximum A-Posteriori Perturbations},
     url = {http://jmlr.org/proceedings/papers/v32/orabona14.html},
     year = {2014},
   }
   
           

7. [Conference]

   Sergey Plis, Anand Sarwate, J. Turner, M. Arbabshirani, and V. Calhoun, 

   From Private Sites to Big Data Without Compromising Privacy: A Case of Neuroimaging Data Classification

   In International Society For Pharmacoeconomics and Outcomes Research (ISPOR) 19th Annual International Meeting  May 2014

   .

   DOI URL Bib

           @incollection{PlisSTAC:14ispor,
     author = {Plis, Sergey and Sarwate, Anand and Turner, J. and Arbabshirani, M. and Calhoun, V.},
     booktitle = {International Society For Pharmacoeconomics and Outcomes Research (ISPOR) 19th Annual International Meeting},
     doi = {10.1016/j.jval.2014.03.1108},
     journal = {Value In Health},
     month = may,
     pages = {3},
     title = {From Private Sites to Big Data Without Compromising Privacy: A Case of Neuroimaging Data Classification},
     url = {http://dx.doi.org/10.1016/j.jval.2014.03.1108},
     year = {2014},
   }
   
           

8. [Journal]

   Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, and Vince D. Calhoun, 

   Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation

   Frontiers in Neuroinformatics  8 : (35),  Apr 2014

   .

   DOI URL Bib Local

           @article{SarwatePTAC:14sharing,
     author = {Sarwate, Anand D. and Plis, Sergey M. and Turner, Jessica A. and Arbabshirani, Mohammad R. and Calhoun, Vince D.},
     doi = {10.3389/fninf.2014.00035},
     journal = {Frontiers in Neuroinformatics},
     local-url = {papers/SarwatePTAC14sharing.pdf},
     month = apr,
     number = {35},
     title = {Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation},
     url = {https://dx.doi.org/10.3389/fninf.2014.00035},
     year = {2014},
   }
   
           

2013

1. [Conference]

   Shuang Song, Kamalika Chaudhuri, and Anand D. Sarwate, 

   Stochastic Gradient Descent with Differentially Private Updates

   In Proceedings of the 2013 Global Conference on Signal and Information Processing (GlobalSIP)  Dec 2013

   .

   DOI URL Bib Local

           @inproceedings{SongCS:13sgd,
     address = {Austin, TX, USA},
     author = {Song, Shuang and Chaudhuri, Kamalika and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2013 Global Conference on Signal and Information Processing (GlobalSIP)},
     doi = {10.1109/GlobalSIP.2013.6736861},
     local-url = {papers/SongCS13sgd.pdf},
     month = dec,
     pages = {245--248},
     title = {Stochastic Gradient Descent with Differentially Private Updates},
     url = {https://dx.doi.org/10.1109/GlobalSIP.2013.6736861},
     year = {2013},
   }
   
           

2. [Conference]

   Sivan Sabato, Anand D. Sarwate, and Nathan Srebro, 

   Auditing: Active Learning with Outcome-Dependent Query Costs

   In Advances in Neural Information Processing Systems (NIPS) 26  Dec 2013

   .

   URL ArXiV Bib Local

           @incollection{SabatoSS:13nips,
     author = {Sabato, Sivan and Sarwate, Anand D. and Srebro, Nathan},
     booktitle = {Advances in Neural Information Processing Systems (NIPS) 26},
     cvcategory = {archival},
     editor = {Burges, C.J.C. and Bottou, L. and Welling, M. and Ghahramani, Z. and Weinberger, K.Q.},
     local-url = {papers/SabatoSS13nips.pdf},
     month = dec,
     pages = {512--520},
     publisher = {Curran Associates, Inc.},
     title = {Auditing: Active Learning with Outcome-Dependent Query Costs},
     url = {http://papers.nips.cc/paper/4956-auditing-active-learning-with-outcome-dependent-query-costs},
     year = {2013},
   }
   
           

3. [Journal]

   Anand D. Sarwate, and Kamalika Chaudhuri, 

   Signal processing and machine learning with differential privacy: theory, algorithms, and challenges

   IEEE Signal Processing Magazine  30 : (5),  Sep 2013

   .

   DOI URL Bib Local

           @article{SarwateC:13survey,
     author = {Sarwate, Anand D. and Chaudhuri, Kamalika},
     doi = {10.1109/MSP.2013.2259911},
     journal = {IEEE Signal Processing Magazine},
     local-url = {papers/SarwateC13spmag.pdf},
     month = sep,
     number = {5},
     pages = {86--94},
     title = {Signal processing and machine learning with differential privacy: theory, algorithms, and challenges},
     url = {http://dx.doi.org/10.1109/MSP.2013.2259911},
     year = {2013},
   }
   
           

4. [Journal]

   Kamalika Chaudhuri, Anand D. Sarwate, and Kaushik Sinha, 

   A Near-Optimal Algorithm for Differentially-Private Principal Components

   Journal of Machine Learning Research  14 Sep 2013

   .

   URL Bib Local

           @article{ChaudhuriSS:pcaJMLR,
     author = {Chaudhuri, Kamalika and Sarwate, Anand D. and Sinha, Kaushik},
     journal = {Journal of Machine Learning Research},
     local-url = {papers/ChaudhuriSS13pca.pdf},
     month = sep,
     pages = {2905--2943},
     title = {A Near-Optimal Algorithm for Differentially-Private Principal Components},
     url = {http://jmlr.org/papers/volume14/chaudhuri13a/chaudhuri13a.pdf},
     year = {2013},
   }
   
           

5. [Journal]

   Xiaoqian Jiang, Anand D. Sarwate, and Lucila Ohno-Machado, 

   Privacy Technology to Share Data for Comparative Effectiveness Research : a systematic review

   Medical Care  51 : (8 Suppl. 3),  Aug 2013

   .

   DOI URL Bib Local

           @article{JiangSO:13cer,
     author = {Jiang, Xiaoqian and Sarwate, Anand D. and Ohno-Machado, Lucila},
     doi = {10.1097/MLR.0b013e31829b1d10},
     journal = {Medical Care},
     local-url = {papers/JiangSO13cer.pdf},
     month = aug,
     number = {8 Suppl. 3},
     pages = {S58--S65},
     title = {Privacy Technology to Share Data for Comparative Effectiveness Research : a systematic review},
     url = {http://dx.doi.org/10.1097/MLR.0b013e31829b1d10},
     year = {2013},
   }
   
           

6. [Conference]

   Vinod M. Prabhakaran, and Anand D. Sarwate, 

   Assisted Sampling of Correlated Sources

   In Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT)  Jul 2013

   .

   DOI URL Bib Local

           @inproceedings{PrabhakaranS:13correlation,
     address = {Istanbul, Turkey},
     author = {Prabhakaran, Vinod M. and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2013.6620807},
     local-url = {papers/PrabhakaranS13isit.pdf},
     month = jul,
     pages = {3155--3159},
     title = {Assisted Sampling of Correlated Sources},
     url = {http://dx.doi.org/10.1109/ISIT.2013.6620807},
     year = {2013},
   }
   
           

7. [Journal]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate, 

   Upper Bounds on the Capacity of Binary Channels with Causal Adversaries

   IEEE Transactions on Information Theory  59 : (6),  Jun 2013

   .

   DOI URL Bib Local

           @article{DeyJLS:13binaryupper,
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     doi = {10.1109/TIT.2013.2245721},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/DeyJLS13upper.pdf},
     month = jun,
     number = {6},
     pages = {3753--3763},
     title = {Upper Bounds on the Capacity of Binary Channels with Causal Adversaries},
     url = {http://dx.doi.org/10.1109/TIT.2013.2245721},
     year = {2013},
   }
   
           

2012

1. [Conference]

   Kamalika Chaudhuri, Anand D. Sarwate, and Kaushik Sinha, 

   Near-optimal Differentially Private Principal Components

   In Advances in Neural Information Processing Systems (NIPS) 25  Dec 2012

   .

   URL Bib

           @incollection{ChaudhuriSS:12nips,
     author = {Chaudhuri, Kamalika and Sarwate, Anand D. and Sinha, Kaushik},
     booktitle = {Advances in Neural Information Processing Systems (NIPS) 25},
     cvcategory = {archival},
     editor = {Bartlett, P. and Pereira, F. C. N. and Burges, C. J. C. and Bottou, L. and Weinberger, K. Q.},
     month = dec,
     pages = {989--997},
     publisher = {Curran Associates, Inc.},
     title = {Near-optimal Differentially Private Principal Components},
     url = {http://books.nips.cc/papers/files/nips25/NIPS2012_0482.pdf},
     year = {2012},
   }
   
           

2. [Journal]

   Anand D. Sarwate, Stephen Checkoway, and Hovav Shacham, 

   Risk-Limiting Audits and the Margin of Victory in Nonplurality Elections

   Statistics, Politics and Policy  3 : (3),  Dec 2012

   .

   DOI URL Bib Local

           @article{SarwateCS:12irv,
     author = {Sarwate, Anand D. and Checkoway, Stephen and Shacham, Hovav},
     doi = {10.1515/spp-2012-0003},
     journal = {Statistics, Politics and Policy},
     local-url = {papers/SarwateCS13irv.pdf},
     month = dec,
     number = {3},
     pages = {29--64},
     title = {Risk-Limiting Audits and the Margin of Victory in Nonplurality Elections},
     url = {http://dx.doi.org/10.1515/spp-2012-0003},
     year = {2012},
   }
   
           

3. [Conference]

   Anand D. Sarwate, 

   Merging Opinions by Social Sampling of Posteriors

   In Proceedings of the 50th Annual Allerton Conference on Communication, Control and Computation  Oct 2012

   .

   DOI URL Bib

           @inproceedings{Sarwate:12posterior,
     address = {Monticello, IL, USA},
     author = {Sarwate, Anand D.},
     booktitle = {Proceedings of the 50th Annual Allerton Conference on Communication, Control and Computation},
     doi = {10.1109/Allerton.2012.6483243},
     month = oct,
     pages = {379--385},
     title = {Merging Opinions by Social Sampling of Posteriors},
     url = {http://dx.doi.org/10.1109/Allerton.2012.6483243},
     year = {2012},
   }
   
           

4. [Journal]

   Staal A. Vinterbo, Anand D. Sarwate, and Aziz Boxwala, 

   Protecting Count Queries in Study Design

   Journal of the American Medical Informatics Association  19 : (5),  Sep 2012

   .

   DOI URL Bib Local

           @article{VinterboSB:12count,
     author = {Vinterbo, Staal A. and Sarwate, Anand D. and Boxwala, Aziz},
     doi = {10.1136/amiajnl-2011-000459},
     journal = {Journal of the American Medical Informatics Association},
     local-url = {papers/VinterboSB12count.pdf},
     month = sep,
     number = {5},
     pages = {750--757},
     title = {Protecting Count Queries in Study Design},
     url = {http://dx.doi.org/10.1136/amiajnl-2011-000459},
     year = {2012},
   }
   
           

5. [Conference]

   Anand D. Sarwate, 

   An AVC perspective on correlated jamming

   In Proceedings of the International Conference on Signal Processing and Communications (SPCOM)  Jul 2012

   .

   DOI URL Bib

           @inproceedings{Sarwate12corrjam,
     address = {Bangalore, India},
     author = {Sarwate, Anand D.},
     booktitle = {Proceedings of the International Conference on Signal Processing and Communications (SPCOM)},
     doi = {10.1109/SPCOM.2012.6290241},
     month = jul,
     pages = {1--5},
     title = {An {AVC} perspective on correlated jamming},
     url = {http://dx.doi.org/10.1109/SPCOM.2012.6290241},
     year = {2012},
   }
   
           

6. [Conference]

   Bikash Kumar Dey, Sidharth Jaggi, Michael Langberg, and Anand D. Sarwate, 

   Improved Upper Bounds on the Capacity of Binary Channels with Causal Adversaries

   In Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT)  Jul 2012

   .

   DOI URL Bib

           @inproceedings{DeyJLS:12isit,
     address = {Cambridge, MA, USA},
     author = {Dey, Bikash Kumar and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2012 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2012.6284300},
     month = jul,
     pages = {681--685},
     title = {Improved Upper Bounds on the Capacity of Binary Channels with Causal Adversaries},
     url = {http://dx.doi.org/10.1109/ISIT.2012.6284300},
     year = {2012},
   }
   
           

7. [Conference]

   Anand D. Sarwate, and Tara Javidi, 

   Distributed learning from social sampling

   In Proceedings of the 46th Annual Conference on Information Sciences and Systems (CISS)  Mar 2012

   .

   DOI URL Bib

           @inproceedings{SarwateJ:12ciss,
     address = {Princeton, NJ, USA},
     author = {Sarwate, Anand D. and Javidi, Tara},
     booktitle = {Proceedings of the 46th Annual Conference on Information Sciences and Systems (CISS)},
     doi = {10.1109/CISS.2012.6310767},
     month = mar,
     title = {Distributed learning from social sampling},
     url = {http://dx.doi.org/10.1109/CISS.2012.6310767},
     year = {2012},
   }
   
           

8. [Journal]

   Anand D. Sarwate, and Alexandros G. Dimakis, 

   The Impact of Mobility on Gossip Algorithms

   IEEE Transactions on Information Theory  58 : (3),  Mar 2012

   .

   DOI URL Bib Local

           @article{SarwateD:12mobility,
     author = {Sarwate, Anand D. and Dimakis, Alexandros G.},
     doi = {10.1109/TIT.2011.2177753},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/SarwateD12mobility.pdf},
     month = mar,
     number = {3},
     pages = {1731--1742},
     title = {The Impact of Mobility on Gossip Algorithms},
     url = {http://dx.doi.org/10.1109/TIT.2011.2177753},
     year = {2012},
   }
   
           

9. [Journal]

   Anand D. Sarwate, and Michael Gastpar, 

   List-Decoding for the Arbitrarily Varying Channel Under State Constraints

   IEEE Transactions on Information Theory  58 : (3),  Mar 2012

   .

   DOI URL Bib Local

           @article{SarwateG:12list,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/TIT.2011.2178153},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/SarwateG12listavc.pdf},
     month = mar,
     number = {3},
     pages = {1372--1384},
     title = {List-Decoding for the Arbitrarily Varying Channel Under State Constraints},
     url = {http://dx.doi.org/10.1109/TIT.2011.2178153},
     year = {2012},
   }
   
           

2011

1. [Conference]

   Anand D. Sarwate, and Tara Javidi, 

   Opinion Dynamics and Distributed Learning of Distributions

   In Proceedings of the 49th Annual Allerton Conference on Communication, Control and Computation  Sep 2011

   .

   DOI URL Bib

           @inproceedings{SarwateJ:11allerton,
     address = {Monticello, IL, USA},
     author = {Sarwate, Anand D. and Javidi, Tara},
     booktitle = {Proceedings of the 49th Annual Allerton Conference on Communication, Control and Computation},
     doi = {10.1109/Allerton.2011.6120297},
     month = sep,
     pages = {1151--1158},
     title = {Opinion Dynamics and Distributed Learning of Distributions},
     url = {http://dx.doi.org/10.1109/Allerton.2011.6120297},
     year = {2011},
   }
   
           

2. [Journal]

   Kamalika Chaudhuri, Claire Monteleoni, and Anand D. Sarwate, 

   Differentially private empirical risk minimization

   Journal of Machine Learning Research  12 Mar 2011

   .

   URL Bib Local

           @article{ChaudhuriMS:11pperm,
     author = {Chaudhuri, Kamalika and Monteleoni, Claire and Sarwate, Anand D.},
     journal = {Journal of Machine Learning Research},
     local-url = {papers/ChaudhuriMS11erm.pdf},
     month = mar,
     pages = {1069--1109},
     title = {Differentially private empirical risk minimization},
     url = {http://jmlr.csail.mit.edu/papers/v12/chaudhuri11a.html},
     year = {2011},
   }
   
           

3. [Conference]

   Staal A. Vinterbo, Anand D. Sarwate, and Aziz Boxwala, 

   Protecting Count Queries in Cohort Identification

   In Proceedings of the 2011 AMIA Summit on Clinical Research Informatics  Mar 2011

   .

   URL Bib

           @inproceedings{VinterboSB:10irb,
     address = {San Francisco, CA, USA},
     author = {Vinterbo, Staal A. and Sarwate, Anand D. and Boxwala, Aziz},
     booktitle = {Proceedings of the 2011 AMIA Summit on Clinical Research Informatics},
     month = mar,
     pages = {1--1},
     title = {Protecting Count Queries in Cohort Identification},
     url = {https://knowledge.amia.org/amia-55142-cri2011a-1.644380/t-002-1.644745/f-001-1.644746/a-043-1.644772/an-043-1.644773},
     year = {2011},
   }
   
           

2010

1. [Conference]

   Michéle Wigger, and Anand D. Sarwate, 

   Linear Strategies for the Gaussian MAC With User Cooperation

   In Proceedings of the 48th Annual Allerton Conference on Communication, Control and Computation  Sep 2010

   .

   DOI URL Bib

           @inproceedings{WiggerS10:allerton,
     address = {Monticello, IL, USA},
     author = {Wigger, Mich\'{e}le and Sarwate, Anand D.},
     booktitle = {Proceedings of the 48th Annual Allerton Conference on Communication, Control and Computation},
     doi = {10.1109/ALLERTON.2010.5707025},
     month = sep,
     pages = {1046--1053},
     title = {Linear Strategies for the {Gaussian MAC} With User Cooperation},
     url = {http://dx.doi.org/10.1109/ALLERTON.2010.5707025},
     year = {2010},
   }
   
           

2. [Journal]

   Anand D. Sarwate, and Michael Gastpar, 

   A little feedback can simplify sensor network cooperation

   IEEE Journal of Selected Areas in Communication  28 : (7),  Sep 2010

   .

   DOI URL Bib Local

           @article{SarwateG:10simple,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/JSAC.2010.100920},
     journal = {IEEE Journal of Selected Areas in Communication},
     local-url = {papers/SarwateG10jsac.pdf},
     month = sep,
     number = {7},
     pages = {1159--1168},
     title = {A little feedback can simplify sensor network cooperation},
     url = {http://dx.doi.org/10.1109/JSAC.2010.100920},
     year = {2010},
   }
   
           

3. [Conference]

   Naryana Prasad Santhanam, Mokshay Madiman, and Anand D. Sarwate, 

   Redundancy of exchangeable estimators

   In Proceedings of the 48th Annual Allerton Conference on Communication, Control, and Computing  Sep 2010

   .

   DOI URL Bib

           @inproceedings{SanthanamMS:10allerton,
     address = {Monticello, IL, USA},
     author = {Santhanam, Naryana Prasad and Madiman, Mokshay and Sarwate, Anand D.},
     booktitle = {Proceedings of the 48th Annual Allerton Conference on Communication, Control, and Computing},
     doi = {10.1109/ALLERTON.2010.5707041},
     month = sep,
     pages = {1153--1157},
     title = {Redundancy of exchangeable estimators},
     url = {http://dx.doi.org/10.1109/ALLERTON.2010.5707041},
     year = {2010},
   }
   
           

4. [Conference]

   Stephen Checkoway, Anand Sarwate, and Hovav Shacham, 

   Single-Ballot Risk-Limiting Audits Using Convex Optimization

   In Proceedings of the 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE)  Aug 2010

   .

   URL Bib Local

           @inproceedings{CheckowaySS:10,
     address = {Washington, DC, USA},
     author = {Checkoway, Stephen and Sarwate, Anand and Shacham, Hovav},
     booktitle = {Proceedings of the 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE)},
     local-url = {papers/CheckowaySS10audit.pdf},
     month = aug,
     pages = {1--15},
     title = {Single-Ballot Risk-Limiting Audits Using Convex Optimization},
     url = {http://static.usenix.org/events/evt/tech/full_papers/Checkoway.pdf},
     year = {2010},
   }
   
           

5. [Conference]

   Anand D. Sarwate, 

   Coding against myopic adversaries

   In Proceedings of the 2010 Information Theory Workshop (ITW)  Aug 2010

   .

   DOI URL Bib

           @inproceedings{Sarwate:10itw,
     address = {Dublin, Ireland},
     author = {Sarwate, Anand D.},
     booktitle = {Proceedings of the 2010 Information Theory Workshop (ITW)},
     doi = {10.1109/CIG.2010.5592896},
     month = aug,
     pages = {1--5},
     title = {Coding against myopic adversaries},
     url = {http://dx.doi.org/10.1109/CIG.2010.5592896},
     year = {2010},
   }
   
           

6. [Journal]

   Anand D. Sarwate, and Michael Gastpar, 

   Rateless codes for AVC models

   IEEE Transactions on Information Theory  56 : (7),  Jul 2010

   .

   DOI URL Bib Local

           @article{SarwateG:10csi,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/TIT.2010.2048497},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/SarwateG10rateless.pdf},
     month = jul,
     number = {7},
     pages = {3105--3114},
     title = {Rateless codes for {AVC} models},
     url = {http://dx.doi.org/10.1109/TIT.2010.2048497},
     year = {2010},
   }
   
           

7. [Conference]

   Bikash Kumar Dey, Michael Langberg, Sidharth Jaggi, and Anand D. Sarwate, 

   Coding against delayed adversaries

   In Proceedings of the 2010 IEEE International Symposium on Information Theory (ISIT)  Jun 2010

   .

   DOI URL Bib

           @inproceedings{DeyJLS:10isit,
     address = {Austin, Texas, USA},
     author = {Dey, Bikash Kumar and Langberg, Michael and Jaggi, Sidharth and Sarwate, Anand D.},
     booktitle = {Proceedings of the 2010 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2010.5513325},
     month = jun,
     pages = {285--289},
     title = {Coding against delayed adversaries},
     url = {http://dx.doi.org/10.1109/ISIT.2010.5513325},
     year = {2010},
   }
   
           

8. [Journal]

   Krishnan Eswaran, Anand D. Sarwate, Anant Sahai, and Michael Gastpar, 

   Zero-rate feedback can achieve the empirical capacity

   IEEE Transactions on Information Theory  56 : (1),  Jan 2010

   .

   DOI URL Bib Local

           @article{EswaranSSG:10empcap,
     author = {Eswaran, Krishnan and Sarwate, Anand D. and Sahai, Anant and Gastpar, Michael},
     doi = {10.1109/TIT.2009.2034779},
     journal = {IEEE Transactions on Information Theory},
     local-url = {papers/EswaranSSG10indseq.pdf},
     month = jan,
     number = {1},
     pages = {25--39},
     title = {Zero-rate feedback can achieve the empirical capacity},
     url = {http://dx.doi.org/10.1109/TIT.2009.2034779},
     year = {2010},
   }