publications

Preprints

2022

1. Y. Zhang, S. Jaggi, M. Langberg, and A. D. Sarwate, “The Capacity of Causal Adversarial Channels,” ArXiV, arXiv:2205.06708 [cs.IT], May 2022.
   Bib URL

     author = {Zhang, Yihan and Jaggi, Sidharth and Langberg, Michael and Sarwate, Anand D.},
     institution = {ArXiV},
     month = may,
     number = {arXiv:2205.06708 [cs.IT]},
     title = {The Capacity of Causal Adversarial Channels},
     year = {2022},
   }

2. A. Engel, Z. Wang, A. D. Sarwate, S. Choudhury, and T. Chiang, “TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models,” ArXiV, arXiv:2205.12372 [cs.LG], May 2022.
   Bib URL

   @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},
     year = {2022},
   }

3. N. Sathyavageeswaran, R. D. Yates, A. D. Sarwate, and N. Mandayam, “Privacy Leakage in Discrete Time Updating Systems,” ArXiV, arXiv:2205.15630 [eess.SY], May 2022.
   Bib URL

     author = {Sathyavageeswaran, Nitya and Yates, Roy D. and Sarwate, Anand D. and Mandayam, Narayan},
     institution = {ArXiV},
     month = may,
     number = {arXiv:2205.15630 [eess.SY]},
     title = {Privacy Leakage in Discrete Time Updating Systems},
     year = {2022},
   }

2021

1. K. E. Nikolakakis, D. S. Kalogerias, and A. D. Sarwate, “Optimal Rates for Learning Hidden Tree Structures,” ArXiV, arXiv:1909.09596v4 [stat.ML], Mar. 2021.
   Bib URL

   @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},
     year = {2021},
   }

2014

1. A. Chatterjee, A. D. Sarwate, and S. Vishwanath, “Generalized Opinion Dynamics from Local Optimization Rules,” ArXiV, arXiv:1409.7614 [math.DS], Sep. 2014.
   Bib URL

   @techreport{ChatterjeeSV:14hkdyn,
     author = {Chatterjee, Avhishek and Sarwate, Anand D. and Vishwanath, Sriram},
     institution = {ArXiV},
     month = sep,
     number = {arXiv:1409.7614 [math.DS]},
     title = {Generalized Opinion Dynamics from Local Optimization Rules},
     year = {2014},
   }

2012

1. A. D. Sarwate and M. Gastpar, “Relaxing the Gaussian AVC,” ArXiV, arXiv:1204.2587v1 [cs.IT], Sep. 2012.
   Bib URL

   @techreport{SarwateG:12gavc,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     institution = {ArXiV},
     month = sep,
     note = {Under revision.},
     number = {arXiv:1204.2587v1 [cs.IT]},
     title = {Relaxing the {Gaussian} {AVC}},
     year = {2012},
   }

Book Chapters

2021

1. Z. Shakeri, A. D. Sarwate, and W. U. Bajwa, “Sample Complexity Bounds for Dictionary Learning from Vector- and Tensor-valued Data,” in Information-Theoretic Methods in Data Science, M. Rodrigues and Y. C. Eldar, Eds. Cambridge, UK: Cambridge University Press, 2021, pp. 134–162.
   Bib DOI

   @inbook{ShakeriSBbook,
     address = {Cambridge, UK},
     author = {Shakeri, Zahra and Sarwate, Anand D. and Bajwa, Waheed U.},
     booktitle = {Information-Theoretic Methods in Data Science},
     doi = {10.1017/9781108616799.006},
     editor = {Rodrigues, Miguel and Eldar, Yonina C.},
     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},
   }

Journal Papers

2023

1. S. Costanza-Chock, K. R. (editor), K. Henne, S. Mhlambi, and A. Sarwate, “Critical AI and Design Justice: An Interview with Sasha Costanza-Chock,” Critical AI, vol. 1–2, no. 1, Oct. 2023.
   Bib DOI

   @article{CostanzaChockRHMS:23sarwate,
     author = {Costanza-Chock, Sasha and (editor), Kristin Rose 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},
     volume = {1--2},
     year = {2023},
   }

2. B. Taki, A. D. Sarwate, and W. U. Bajwa, “Structured Low-Rank Tensor Models for Logistic Regression,” Transactions on Machine Learning Research, Aug. 2023.
   Bib URL

   @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},
   }

3. D. Martin, S. Basodi, S. Panta, K. Rootes-Murdy, P. Prae, A. D. Sarwate, R. Kelly, J. Romero, B. T. Baker, H. Gazula, J. Bockholt, J. A. Turner, N. B. Esper, A. R. Franco, S. Plis, and V. D. Calhoun, “Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility,” Frontiers in Neuroinformatics, vol. 17, Jun. 2023.
   Abs Bib DOI

   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},
     volume = {17},
     year = {2023},
   }

4. N. Tasnim, J. Mohammadi, A. D. Sarwate, and H. Imtiaz, “Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning,” Entropy, vol. 25, no. 5, p. 825, May 2023.
   Bib DOI

   @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},
     volume = {25},
     year = {2023},
   }

5. R. Islam, K. N. Keya, S. Pan, A. D. Sarwate, and J. R. Foulds, “Differential Fairness: An Intersectional Framework for Fair AI,” Entropy, vol. 25, no. 4, Apr. 2023.
   Abs Bib DOI

   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},
     volume = {25},
     year = {2023},
   }

6. H. Gazula, K. Rootes-Murdy, B. Holla, S. Basodi, Z. Zhang, E. Verner, R. Kelly, P. Murthy, A. Chakrabarti, D. Basu, S. Bhagyalakshmi Nanjayya, R. Lenin Singh, R. Lourembam Singh, K. Kalyanram, K. Kartik, K. Kalyanaraman, K. Ghattu, R. Kuriyan, S. S. Kurpad, G. J. Barker, R. D. Bharath, S. Desrivieres, M. Purushottam, D. P. Orfanos, E. Sharma, M. Hickman, M. Toledano, N. Vaidya, T. Banaschewski, A. L. W. Bokde, H. Flor, A. Grigis, H. Garavan, P. Gowland, A. Heinz, R. Brühl, J.-L. Martinot, M.-L. Paillére Martinot, E. Artiges, F. Nees, T. Paus, L. Poustka, J. H. Fröhner, L. Robinson, M. N. Smolka, H. Walter, J. Winterer, R. Whelan, J. A. Turner, A. D. Sarwate, et al., “Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains,” Neuroinformatics, vol. 21, pp. 287–301, Apr. 2023.
   Abs Bib DOI

   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 = apr,
     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},
     volume = {21},
     year = {2023},
   }

2022

1. Y. Zhang, S. Vatedka, S. Jaggi, and A. D. Sarwate, “Quadratically Constrained Myopic Adversarial Channels,” IEEE Transactions on Information Theory, vol. 68, pp. 4901–4948, Aug. 2022.
   Bib DOI

   @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},
     volume = {68},
     year = {2022},
   }

2. S. Xiong, A. D. Sarwate, and N. B. Mandayam, “Network Traffic Shaping for Enhancing Privacy in IoT Systems,” IEEE/ACM Transactions on Networking, vol. 30, no. 3, pp. 1162–1177, Jun. 2022.
   Bib DOI

   @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},
     volume = {30},
     year = {2022},
   }

3. K. Rootes-Murdy, H. Gazula, E. Verner, R. Kelly, T. DeRamus, S. Plis, A. Sarwate, J. Turner, and V. Calhoun, “Federated Analysis of Neuroimaging Data: A Review of the Field,” Neuroinformatics, vol. 20, no. 2, pp. 377–390, Apr. 2022.
   Abs Bib DOI

   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},
     volume = {20},
     year = {2022},
   }

4. D. K. Saha, V. D. Calhoun, Y. Du, Z. Fu, S. M. Kwon, A. D. Sarwate, S. R. Panta, and S. M. Plis, “Privacy-preserving quality control of neuroimaging datasets in federated environments,” Human Brain Mapping, vol. 43, p. 2289—2310, Mar. 2022.
   Bib DOI

   @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},
     volume = {43},
     year = {2022},
   }

5. S. Basodi, R. Raja, B. Ray, H. Gazula, A. D. Sarwate, S. Plis, J. Liu, E. Verner, and V. D. Calhoun, “Decentralized Brain Age Estimation Using MRI Data,” Neuroinformatics, vol. 20, no. 4, pp. 981–990, 2022.
   Abs Bib DOI

   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.},
     date = {2022/10/01},
     doi = {10.1007/s12021-022-09570-x},
     id = {Basodi2022},
     isbn = {1559-0089},
     journal = {Neuroinformatics},
     number = {4},
     pages = {981--990},
     title = {Decentralized Brain Age Estimation Using MRI Data},
     url = {https://doi.org/10.1007/s12021-022-09570-x},
     volume = {20},
     year = {2022},
   }

6. H. Gazula, K. Rootes-Murdy, B. Holla, S. Basodi, Z. Zhang, E. Verner, R. Kelly, P. Murthy, A. Chakrabarti, D. Basu, and others, “Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains,” Neuroinformatics, pp. 1–15, 2022.
   Bib

   @article{GazulaRHBZVKMCB: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 others},
     journal = {Neuroinformatics},
     pages = {1--15},
     publisher = {Springer},
     title = {Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains},
     year = {2022}
   }

2021

1. H. Imtiaz, J. Mohammadi, R. Silva, B. Baker, S. M. Plis, A. D. Sarwate, and V. D. Calhoun, “A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation,” IEEE Transactions on Signal Processing, vol. 69, pp. 6355–6370, Nov. 2021.
   Bib DOI

   @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},
     volume = {69},
     year = {2021},
   }

2. S. M. Kwon and A. D. Sarwate, “Learning Predictors from Multidimensional Data with Tensor Factorizations,” Aresty Rutgers Undergraduate Research Journal, vol. 1, no. 3, Oct. 2021.
   Bib DOI

   @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},
     volume = {1},
     year = {2021},
   }

3. G. R. Kurri, V. M. Prabhakaran, and A. D. Sarwate, “Coordination Through Shared Randomness,” IEEE Transactions on Information Theory, vol. 67, no. 8, pp. 4948–4974, Aug. 2021.
   Bib DOI

   @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},
     volume = {67},
     year = {2021},
   }

4. K. E. Nikolakakis, D. S. Kalogerias, A. D. Sarwate, and O. Sheffet, “Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme,” IEEE Journal on Selected Areas in Information Theory, vol. 2, no. 2, pp. 534–548, Jun. 2021.
   Bib DOI

   @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},
     volume = {2},
     year = {2021},
   }

5. K. E. Nikolakakis, D. S. Kalogerias, and A. D. Sarwate, “Predictive Learning on Hidden Tree-Structured Ising Models,” Journal of Machine Learning Research, vol. 22, no. 59, pp. 1–82, Apr. 2021.
   Bib URL

   @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},
     volume = {22},
     year = {2021},
   }

6. H. Gazula, B. Holla, Z. Zhang, J. Xu, E. Verner, R. Kelly, S. Jain, R. D. Bharath, G. J. Barker, D. Basu, A. Chakrabarti, K. Kalyanram, K. Kumaran, L. Singh, R. Kuriyan, P. Murthy, V. Benega, S. M. Plis, A. D. Sarwate, J. A. Turner, G. Schumann, and V. D. Calhoun, “Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis,” Neuroinformatics, Jan. 2021.
   Bib DOI

   @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. H. Gazula, R. Kelly, J. Romero, E. Verner, B. T. Baker, R. F. Silva, H. Imtiaz, D. K. Saha, R. Raja, J. A. Turner, A. D. Sarwate, S. M. Plis, and V. D. Calhoun, “COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation,” Journal of Open Source Software, vol. 5, no. 54, p. 2166, Oct. 2020.
   Bib DOI

   @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},
     volume = {5},
     year = {2020},
   }

2. D. M. Bittner, A. E. Brito, M. Ghassemi, S. Rane, A. D. Sarwate, and R. N. Wright, “Understanding Privacy-Utility Tradeoffs Using Differentially Private Online Active Learning,” Journal of Privacy and Confidentiality, vol. 10, no. 2, Jun. 2020.
   Bib DOI

   @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},
     volume = {10},
     year = {2020},
   }

3. M. Ghassemi, Z. Shakeri, A. D. Sarwate, and W. U. Bajwa, “Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms,” IEEE Transactions on Signal Processing, vol. 68, no. 1, pp. 33–48, Jan. 2020.
   Bib DOI

   @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},
     volume = {68},
     year = {2020},
   }

2019

1. T. Hazan, F. Orabona, A. D. Sarwate, S. Maji, and T. Jaakkola, “High Dimensional Inference with Random Maximum A-Posteriori Perturbations,” IEEE Transactions on Information Theory, vol. 65, no. 10, pp. 6539–6560, Oct. 2019.
   Bib DOILocal

   @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},
     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},
     volume = {65},
     year = {2019},
   }

2. B. Baker, A. Abrol, R. F. Silva, E. Damaraju, A. D. Sarwate, V. D. Calhoun, and S. M. Plis, “Decentralized Temporal Independent Component Analysis: Leveraging fMRI Data in Collaborative Settings,” NeuroImage, vol. 186, pp. 557–569, Feb. 2019.
   Bib DOILocal

   @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},
     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},
     volume = {186},
     year = {2019},
   }

2018

1. H. Imtiaz and A. D. Sarwate, “Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1449–1464, Dec. 2018.
   Bib DOILocal

   @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},
     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},
     volume = {12},
     year = {2018},
   }

2. K. Kalantari, L. Sankar, and A. D. Sarwate, “Robust Privacy-Utility Tradeoffs under Differential Privacy and Hamming Distortion,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2816–2830, Nov. 2018.
   Bib DOILocal

   @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},
     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},
     volume = {13},
     year = {2018},
   }

3. Z. Shakeri, A. D. Sarwate, and W. U. Bajwa, “Identifiability of Kronecker-Structured Dictionaries for Tensor Data,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 5, pp. 1047–1062, Oct. 2018.
   Bib DOILocal

   @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},
     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},
     volume = {12},
     year = {2018},
   }

4. A. Lalitha, T. Javidi, and A. D. Sarwate, “Social Learning and Distributed Hypothesis Testing,” IEEE Transactions on Information Theory, vol. 64, no. 9, pp. 6161–6179, Sep. 2018.
   Bib DOILocal

   @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},
     month = sep,
     number = {9},
     pages = {6161--6179},
     title = {Social Learning and Distributed Hypothesis Testing},
     url = {http://dx.doi.org/10.1109/TIT.2018.2837050},
     volume = {64},
     year = {2018},
   }

5. Z. Shakeri, W. U. Bajwa, and A. D. Sarwate, “Minimax Lower Bounds on Dictionary Learning for Tensor Data,” IEEE Transactions on Information Theory, vol. 64, no. 4, pp. 2706–2726, Apr. 2018.
   Bib DOILocal

   @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},
     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},
     volume = {64},
     year = {2018},
   }

2017

1. A. Bijral, A. D. Sarwate, and N. Srebro, “Data Dependent Convergence For Consensus Stochastic Optimization,” IEEE Transactions on Automatic Control, vol. 62, no. 9, pp. 4483–4498, Sep. 2017.
   Bib DOILocal

   @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},
     month = sep,
     number = {9},
     pages = {4483--4498},
     title = {Data Dependent Convergence For Consensus Stochastic Optimization},
     url = {http://doi.org/10.1109/TAC.2017.2671377},
     volume = {62},
     year = {2017},
   }

2. J. Ming, E. Verner, A. Sarwate, R. Kelly, C. Reed, T. Kahleck, R. Silva, S. Panta, J. Turner, S. Plis, and V. Calhoun, “COINSTAC: Decentralizing the future of brain imaging analysis,” F1000Research, vol. 6, no. 1512, Aug. 2017.
   Bib DOILocal

   @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},
     month = aug,
     number = {1512},
     title = {{COINSTAC}: Decentralizing the future of brain imaging analysis},
     url = {http://dx.doi.org/10.12688/f1000research.12353.1},
     volume = {6},
     year = {2017},
   }

2016

1. N. D. Goldstein and A. D. Sarwate, “Privacy, security, and the public health researcher in the era of electronic health record research,” Online Journal of Public Health Informatics, vol. 8, no. 3, p. e207, Dec. 2016.
   Bib DOILocal

   @article{GoldsteinS:16ojphi,
     author = {Goldstein, Neal D. and Sarwate, Anand D.},
     doi = {10.5210/ojphi.v8i3.7251},
     journal = {Online Journal of Public Health Informatics},
     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},
     volume = {8},
     year = {2016},
   }

2. S. Plis, A. D. Sarwate, D. Wood, C. Dieringer, D. Landis, C. Reed, S. R. Panta, J. A. Turner, J. M. Shoemaker, K. W. Carter, P. Thompson, K. Hutchison, and V. D. Calhoun, “COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data,” Frontiers in Neuroscience, vol. 10, no. 365, Aug. 2016.
   Bib DOILocal

   @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},
     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},
     volume = {10},
     year = {2016},
   }

3. C. Huang, L. Sankar, and A. D. Sarwate, “Designing Incentive Schemes For Privacy-Sensitive Users,” Journal of Privacy and Confidentiality, vol. 7, no. 1, pp. 99–127, Mar. 2016.
   Bib URLLocal

   @article{HuangSS:16incentive,
     author = {Huang, Chong and Sankar, Lalitha and Sarwate, Anand D.},
     journal = {Journal of Privacy and Confidentiality},
     month = mar,
     number = {1},
     pages = {99--127},
     title = {Designing Incentive Schemes For Privacy-Sensitive Users},
     url = {http://repository.cmu.edu/jpc/vol7/iss1/5/},
     volume = {7},
     year = {2016},
   }

2015

1. A. D. Sarwate and T. Javidi, “Distributed Learning of Distributions via Social Sampling,” IEEE Transactions on Automatic Control, vol. 60, no. 1, pp. 34–45, Jan. 2015.
   Bib DOILocal

   @article{SarwateJ:15social,
     author = {Sarwate, Anand D. and Javidi, Tara},
     doi = {10.1109/TAC.2014.2329611},
     journal = {IEEE Transactions on Automatic Control},
     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},
     volume = {60},
     year = {2015},
   }

2014

1. N. P. Santhanam, A. D. Sarwate, and J. O. Woo, “Redundancy of Exchangeable Estimators,” Entropy, vol. 16, no. 10, pp. 5339–5357, Oct. 2014.
   Bib DOILocal

   @article{SanthanarmSW:14exch,
     author = {Santhanam, Narayana P. and Sarwate, Anand D. and Woo, Jae Oh},
     doi = {10.3390/e16105339},
     journal = {Entropy},
     month = oct,
     number = {10},
     pages = {5339--5357},
     title = {Redundancy of Exchangeable Estimators},
     url = {http://dx.doi.org/10.3390/e16105339},
     volume = {16},
     year = {2014},
   }

2. A. D. Sarwate, S. M. Plis, J. A. Turner, M. R. Arbabshirani, and V. D. Calhoun, “Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation,” Frontiers in Neuroinformatics, vol. 8, no. 35, Apr. 2014.
   Bib DOILocal

   @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},
     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},
     volume = {8},
     year = {2014},
   }

2013

1. A. D. Sarwate and K. Chaudhuri, “Signal processing and machine learning with differential privacy: theory, algorithms, and challenges,” IEEE Signal Processing Magazine, vol. 30, no. 5, pp. 86–94, Sep. 2013.
   Bib DOILocal

   @article{SarwateC:13survey,
     author = {Sarwate, Anand D. and Chaudhuri, Kamalika},
     doi = {10.1109/MSP.2013.2259911},
     journal = {IEEE Signal Processing Magazine},
     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},
     volume = {30},
     year = {2013},
   }

2. K. Chaudhuri, A. D. Sarwate, and K. Sinha, “A Near-Optimal Algorithm for Differentially-Private Principal Components,” Journal of Machine Learning Research, vol. 14, pp. 2905–2943, Sep. 2013.
   Bib URLLocal

   @article{ChaudhuriSS:pcaJMLR,
     author = {Chaudhuri, Kamalika and Sarwate, Anand D. and Sinha, Kaushik},
     journal = {Journal of Machine Learning Research},
     month = sep,
     pages = {2905--2943},
     title = {A Near-Optimal Algorithm for Differentially-Private Principal Components},
     volume = {14},
     year = {2013},
   }

3. X. Jiang, A. D. Sarwate, and L. Ohno-Machado, “Privacy Technology to Share Data for Comparative Effectiveness Research : a systematic review,” Medical Care, vol. 51, no. 8 Suppl. 3, pp. S58–S65, Aug. 2013.
   Bib DOILocal

   @article{JiangSO:13cer,
     author = {Jiang, Xiaoqian and Sarwate, Anand D. and Ohno-Machado, Lucila},
     doi = {10.1097/MLR.0b013e31829b1d10},
     journal = {Medical Care},
     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},
     volume = {51},
     year = {2013},
   }

4. B. K. Dey, S. Jaggi, M. Langberg, and A. D. Sarwate, “Upper Bounds on the Capacity of Binary Channels with Causal Adversaries,” IEEE Transactions on Information Theory, vol. 59, no. 6, pp. 3753–3763, Jun. 2013.
   Bib DOILocal

   @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},
     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},
     volume = {59},
     year = {2013},
   }

2012

1. A. D. Sarwate, S. Checkoway, and H. Shacham, “Risk-Limiting Audits and the Margin of Victory in Nonplurality Elections,” Statistics, Politics and Policy, vol. 3, no. 3, pp. 29–64, Dec. 2012.
   Bib DOILocal

   @article{SarwateCS:12irv,
     author = {Sarwate, Anand D. and Checkoway, Stephen and Shacham, Hovav},
     doi = {10.1515/spp-2012-0003},
     journal = {Statistics, Politics and Policy},
     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},
     volume = {3},
     year = {2012},
   }

2. S. A. Vinterbo, A. D. Sarwate, and A. Boxwala, “Protecting Count Queries in Study Design,” Journal of the American Medical Informatics Association, vol. 19, no. 5, pp. 750–757, Sep. 2012.
   Bib DOILocal

   @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},
     month = sep,
     number = {5},
     pages = {750--757},
     title = {Protecting Count Queries in Study Design},
     url = {http://dx.doi.org/10.1136/amiajnl-2011-000459},
     volume = {19},
     year = {2012},
   }

3. A. D. Sarwate and A. G. Dimakis, “The Impact of Mobility on Gossip Algorithms,” IEEE Transactions on Information Theory, vol. 58, no. 3, pp. 1731–1742, Mar. 2012.
   Bib DOILocal

   @article{SarwateD:12mobility,
     author = {Sarwate, Anand D. and Dimakis, Alexandros G.},
     doi = {10.1109/TIT.2011.2177753},
     journal = {IEEE Transactions on Information Theory},
     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},
     volume = {58},
     year = {2012},
   }

4. A. D. Sarwate and M. Gastpar, “List-Decoding for the Arbitrarily Varying Channel Under State Constraints,” IEEE Transactions on Information Theory, vol. 58, no. 3, pp. 1372–1384, Mar. 2012.
   Bib DOILocal

   @article{SarwateG:12list,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/TIT.2011.2178153},
     journal = {IEEE Transactions on Information Theory},
     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},
     volume = {58},
     year = {2012},
   }

2011

1. K. Chaudhuri, C. Monteleoni, and A. D. Sarwate, “Differentially private empirical risk minimization,” Journal of Machine Learning Research, vol. 12, pp. 1069–1109, Mar. 2011.
   Bib URLLocal

   @article{ChaudhuriMS:11pperm,
     author = {Chaudhuri, Kamalika and Monteleoni, Claire and Sarwate, Anand D.},
     journal = {Journal of Machine Learning Research},
     month = mar,
     pages = {1069--1109},
     title = {Differentially private empirical risk minimization},
     volume = {12},
     year = {2011},
   }

2010

1. A. D. Sarwate and M. Gastpar, “A little feedback can simplify sensor network cooperation,” IEEE Journal of Selected Areas in Communication, vol. 28, no. 7, pp. 1159–1168, Sep. 2010.
   Bib DOILocal

   @article{SarwateG:10simple,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/JSAC.2010.100920},
     journal = {IEEE Journal of Selected Areas in Communication},
     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},
     volume = {28},
     year = {2010},
   }

2. A. D. Sarwate and M. Gastpar, “Rateless codes for AVC models,” IEEE Transactions on Information Theory, vol. 56, no. 7, pp. 3105–3114, Jul. 2010.
   Bib DOILocal

   @article{SarwateG:10csi,
     author = {Sarwate, Anand D. and Gastpar, Michael},
     doi = {10.1109/TIT.2010.2048497},
     journal = {IEEE Transactions on Information Theory},
     month = jul,
     number = {7},
     pages = {3105--3114},
     url = {http://dx.doi.org/10.1109/TIT.2010.2048497},
     volume = {56},
     year = {2010},
   }

3. K. Eswaran, A. D. Sarwate, A. Sahai, and M. Gastpar, “Zero-rate feedback can achieve the empirical capacity,” IEEE Transactions on Information Theory, vol. 56, no. 1, pp. 25–39, Jan. 2010.
   Bib DOILocal

   @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},
     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},
     volume = {56},
     year = {2010},
   }

2009

1. T. C. Aysal, M. E. Yildiz, A. D. Sarwate, and A. Scaglione, “Broadcast Gossip Algorithms for Consensus,” IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2748–2761, Jul. 2009.
   Bib DOILocal

   @article{AysalYSS:09bcast,
     author = {Aysal, Tuncer Can and Yildiz, Mehmet Ercan and Sarwate, Anand D. and Scaglione, Anna},
     doi = {10.1109/TSP.2009.2016247},
     journal = {IEEE Transactions on Signal Processing},
     month = jul,
     number = {7},
     pages = {2748--2761},
     title = {Broadcast Gossip Algorithms for Consensus},
     url = {http://dx.doi.org/10.1109/TSP.2009.2016247},
     volume = {57},
     year = {2009},
   }

2008

1. A. G. Dimakis, A. D. Sarwate, and M. J. Wainwright, “Geographic Gossip: Efficient Averaging for Sensor Networks,” IEEE Transactions on Signal Processing, vol. 56, no. 3, pp. 1205–1215, Mar. 2008.
   Bib DOILocal

   @article{Dimakis08:geog,
     author = {Dimakis, Alexandros G. and Sarwate, Anand D. and Wainwright, Martin J.},
     doi = {10.1109/TSP.2007.908946},
     journal = {IEEE Transactions on Signal Processing},
     month = mar,
     number = {3},
     pages = {1205--1215},
     title = {Geographic Gossip: Efficient Averaging for Sensor Networks},
     url = {http://dx.doi.org/10.1109/TSP.2007.908946},
     volume = {56},
     year = {2008},
   }

2006

1. A. D. Sarwate and V. Anantharam, “Exact emulation of a priority queue with a switch and delay lines,” Queuing Systems : Theory and Applications, vol. 53, no. 3, pp. 115–125, Jul. 2006.
   Bib DOILocal

   @article{SarwateA:06questa,
     author = {Sarwate, Anand D. and Anantharam, Venkat},
     doi = {10.1007/s11134-006-6669-x},
     journal = {Queuing Systems : Theory and Applications},
     month = jul,
     number = {3},
     pages = {115--125},
     title = {Exact emulation of a priority queue with a switch and delay lines},
     url = {http://dx.doi.org/10.1007/s11134-006-6669-x},
     volume = {53},
     year = {2006},
   }

2002

1. A. Sarwate, “Longest Increasing Subsequences and Random Matrices,” MIT Undergraduate Journal of Mathematics, vol. 4, pp. 157–166, 2002.
   Bib Local

   @article{Sarwate02:longest,
     author = {Sarwate, Anand},
     journal = {MIT Undergraduate Journal of Mathematics},
     pages = {157--166},
     title = {Longest Increasing Subsequences and Random Matrices},
     volume = {4},
     year = {2002},
   }

Conference Papers

2023

1. Z. Wang, A. Engel, A. Sarwate, I. Dumitriu, and T. Chiang, “Spectral Evolution and Invariance in Linear-width Neural Networks,” in Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Curran Associates, Inc., 2023.
   Bib URL

   @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)},
     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. D. K. Saha, V. Calhoun, S. M. Kwon, A. Sarwate, R. Saha, and S. Plis, “Federated, Fast, and Private Visualization of Decentralized Data,” in Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities (FL-ICML 2023), 2023.
   Bib URL

   @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},
   }

3. Z. Wang, A. Engel, A. Sarwate, I. Dumitriu, and T. Chiang, “Spectral Evolution and Invariance in Linear-width Neural Networks,” in Workshop on High-dimensional Learning Dynamics (HiLD-ICML 2023), 2023.
   Bib URL

   @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},
   }

4. S. Li, P. Krishan, S. Jaggi, M. Langberg, and A. D. Sarwate, “Computationally Efficient Codes for Adversarial Binary-Erasure Channels,” in Proceedings of the 2023 IEEE International Symposium on Information Theory (ISIT), 2023, pp. 228–233.
   Bib DOI

   @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},
   }

2022

1. Y. Zhang, S. Jaggi, M. Langberg, and A. D. Sarwate, “The Capacity of Causal Adversarial Channels,” in Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT), 2022.
   arXiv Bib DOI

   @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},
   }

2. N. Sathyavageeswaran, R. D. Yates, A. D. Sarwate, and N. Mandayam, “Privacy Leakage in Discrete Time Updating Systems,” in Proceedings of the 2022 IEEE International Symposium on Information Theory (ISIT), 2022.
   arXiv Bib DOI

   @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},
   }

3. S. M. Kwon, X. Li, and A. 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), 2022, pp. 3643–3647.
   arXiv Bib DOI

   @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},
   }

4. F. Cangialosi, N. Agarwal, V. Arun, J. Jiang, S. Narayana, A. Sarwate, and R. Netravali, “Privid: Practical, Privacy-Preserving Video Analytics Queries,” in Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI ’22), 2022.
   Bib URL

   @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)},
     month = apr,
     title = {Privid: Practical, Privacy-Preserving Video Analytics Queries},
     url = {https://www.usenix.org/conference/nsdi22/presentation/cangialosi},
     year = {2022},
   }

2021

1. B. Taki, M. Ghassemi, A. D. Sarwate, and W. U. Bajwa, “A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression,” in 2021 Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 477–484.
   arXiv Bib DOI

   @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. A. Rezaie, J. Gao, and A. D. Sarwate, “Influencers and the Giant Component: the Fundamental Hardness in Privacy Protection for Socially Contagious Attributes,” in SIAM International Conference on Data Mining, 2021, pp. 217–225.
   Bib DOI

   @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},
   }

2020

1. A. J. Budkuley, B. K. Dey, S. Jaggi, M. Langberg, A. D. Sarwate, and C. Wang, “Symmetrizability for Myopic AVCs,” in Proceedings of the 2020 IEEE International Symposium on Information Theory (ISIT), 2020.
   Bib DOI

   @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},
   }

2019

1. B. K. Dey, S. Jaggi, M. Langberg, A. D. Sarwate, and C. Wang, “The Interplay of Causality and Myopia in Adversarial Channel Models,” in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 2019.
   Bib DOI

   @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},
   }

2. M. Ghassemi, Z. Shakeri, W. U. Bajwa, and A. D. Sarwate, “Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning,” in Proceedings of the 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, 2019.
   Bib DOI

   @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},
   }

3. H. Imtiaz and A. D. Sarwate, “Distributed Differentially Private Canonical Correlation Analysis,” in Proceedings of the 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK, 2019, pp. 3112–3116.
   Bib DOI

   @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},
   }

4. K. Nikolakakis, D. Kalogerias, and A. D. Sarwate, “Learning Tree Structures from Noisy Data,” in Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 89, K. Chaudhuri and R. Salakhutdinov, Eds. Naha, Okinawa, Japan: PMLR, 2019, pp. 1771–1782.
   Bib URLLocal

   @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)},
     editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
     month = apr,
     pages = {1771--1782},
     publisher = {PMLR},
     series = {Proceedings of Machine Learning Research},
     title = {Learning Tree Structures from Noisy Data},
     volume = {89},
     year = {2019},
   }

2018

1. Y. Zhang, S. Vatedka, S. Jaggi, and A. D. Sarwate, “Quadratically Constrained Myopic Adversarial Channels,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, 2018, pp. 611–615.
   Bib DOI

   @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},
   }

2. T. Li, B. K. Dey, S. Jaggi, M. Langberg, and A. D. Sarwate, “Quadratically Constrained Channels with Causal Adversaries,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, 2018, pp. 621–625.
   arXiv Bib DOI

   @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},
   }

3. G. R. Kurri, V. M. Prabhakaran, and A. D. Sarwate, “Coordination Using Individually Shared Randomness,” in Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA, 2018, pp. 2550–2554.
   Bib DOI

   @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},
   }

4. D. Bittner, A. D. Sarwate, and R. 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), vol. 10879, I. Dinur, S. Dolev, and S. Lodha, Eds. Springer, 2018, pp. 20–37.
   Bib DOI

   @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},
     volume = {10879},
     year = {2018},
   }

5. H. Imtiaz and A. D. Sarwate, “Differentially Private Distributed Principal Component Analysis,” in Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018, pp. 2206–2210.
   Bib DOI

   @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},
   }

6. S. Xiong, A. D. Sarwate, and N. 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), Calgary, AB, Canada, 2018, pp. 2027–2031.
   Bib DOI

   @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},
   }

7. M. Ghassemi, N. Goela, and A. D. Sarwate, “Global Optimality in Inductive Matrix Completion,” in Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018, pp. 2226–2230.
   Bib DOI

   @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},
   }

8. H. Imtiaz and A. 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), Calgary, AB, Canada, 2018, pp. 2201–2205.
   Bib DOI

   @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},
   }

2017

1. M. Ghassemi, Z. Shakeri, A. D. Sarwate, and W. 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), Curaçao, Netherlands Antilles, 2017, pp. 1–5.
   Bib DOI

   @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. Z. Shakeri, A. D. Sarwate, and W. 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), Curaçao, Netherlands Antilles, 2017, pp. 1–5.
   arXiv Bib DOI

   @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. H. Imtiaz and A. D. Sarwate, “Differentially Private Canonical Correlation Analysis,” in Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, QC, Canada, 2017, pp. 283–287.
   Bib DOI

   @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. B. Liu, C. Wen, A. D. Sarwate, and M. M. Dehnavi, “A Unified Optimization Approach for Sparse Tensor Operations on GPUs,” in Proceedings of the 2017 IEEE International Conference on Cluster Computing (CLUSTER), Honolulu, HI, USA, 2017, pp. 47–57.
   Bib DOI

   @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. Z. Shakeri, W. U. Bajwa, and A. 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), New Orleans, LA, USA, 2017, pp. 4501–4505.
   Bib DOI

   @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},
   }

6. N. Wojtalewicz, R. Silva, V. Calhoun, A. Sarwate, and S. Plis, “Decentralized Independent Vector Analysis,” in Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 2017, pp. 826–830.
   Bib DOI

   @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. L. Wei, A. D. Sarwate, J. Corander, A. Hero, and V. 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), Washington, DC, USA, 2016, pp. 1335–1339.
   Bib DOI

   @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},
   }

2. M. Ghassemi, A. D. Sarwate, and R. Wright, “Differentially Private Online Active Learning with Applications to Anomaly Detection,” in Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security (AISec), Vienna, Austria, 2016, pp. 117–128.
   Bib DOI

   @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},
   }

3. A. Bijral, A. D. Sarwate, and N. Srebro, “Data-Dependent Bounds on Network Gradient Descent,” in Proceedings of the 54th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 2016, pp. 869–874.
   Bib DOI

   @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},
   }

4. B. K. Dey, S. Jaggi, M. Langberg, and A. 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), Barcelona, Spain, 2016, pp. 880–884.
   arXiv Bib DOI

   @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},
   }

5. Z. Shakeri, W. U. Bajwa, and A. D. Sarwate, “Minimax Lower Bounds for Kronecker-Structured Dictionary Learning,” in Proceedings of the 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, 2016, pp. 1148–1152.
   Bib DOI

   @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},
   }

6. K. Kalantari, L. Sankar, and A. 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), Barcelona, Spain, 2016, pp. 2069–2073.
   Bib DOI

   @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},
   }

7. H. Imtiaz, R. Silva, B. Baker, S. M. Plis, A. D. Sarwate, and V. 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), Princeton, NJ, USA, 2016, pp. 123–127.
   Bib DOI

   @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},
   }

8. S. Xiong, A. D. Sarwate, and N. B. Mandayam, “Randomized Requantization with Local Differential Privacy,” in Proceedings of the 2016 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016, pp. 2189–2193.
   Bib DOI

   @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},
   }

9. L. Xie, S. M. Plis, and A. Sarwate, “Data Weighted Ensemble Learning for Privacy-Preserving Distributed Learning,” in Proceedings of the 2006 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016, pp. 2309–2313.
   Bib DOI

   @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},
   }

2015

1. A. Chatterjee, A. D. Sarwate, and S. Vishwanath, “Generalized Opinion Dynamics from Local Optimization Rules,” in Proceedings of the 49th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2015, pp. 1075–1079.
   arXiv Bib DOI

   @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. C. Huang, L. Sankar, and A. D. Sarwate, “Incentive Schemes For Privacy-Sensitive Consumers,” in Decision and Game Theory for Security, no. 9406, M. H. R. Khouzani, E. Panaousis, and G. Theodorakopoulos, Eds. Cham, Switzerland: Springer, 2015, pp. 358–369.
   Bib DOILocal

   @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},
     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. M. Ghassemi and A. D. Sarwate, “Distributed Proportional Stochastic Coordinate Descent with Social Sampling,” in Proceedings of the 53rd Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 2015, pp. 17–24.
   Bib DOI

   @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. B. Baker, R. Silva, V. D. Calhoun, A. D. Sarwate, and S. Plis, “Large scale collaboration with autonomy: decentralized data ICA,” in Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP), Boston, MA, USA, 2015, pp. 1–6.
   Bib DOI

   @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. S. Song, K. Chaudhuri, and A. D. Sarwate, “Learning from Data with Heterogeneous Noise using SGD,” in Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 38, G. Lebanon and S. V. N. Vishwanathan, Eds. San Diego, California, USA: PMLR, 2015, pp. 894–902.
   arXiv Bib URL

   @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)},
     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}},
     volume = {38},
     year = {2015},
   }

6. T. Wu, A. D. Sarwate, and W. U. Bajwa, “Active dictionary learning for image representation,” in Unmanned Systems Technology XVII, vol. 9468, no. 946809, R. E. Karlsen, D. W. Gage, C. M. Shoemaker, and G. R. Gerhart, Eds. SPIE, 2015, pp. 1–10.
   Bib DOILocal

   @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.},
     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},
     volume = {9468},
     year = {2015},
   }

2014

1. V. K. Potluru, J. Diaz-Montes, A. D. Sarwate, S. M. Plis, V. D. Calhoun, B. A. Pearlmutter, and M. 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, Montreal, Canada, 2014, pp. 1–9.
   Bib URL

   @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},
     year = {2014},
   }

2. A. D. Sarwate and L. Sankar, “A Rate-Disortion [sic] Perspective on Local Differential Privacy,” in Proceedings of the 52nd Annual Allerton Conference on Communication, Control and Computation, Monticello, IL, USA, 2014.
   Bib DOILocal

   @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},
     month = sep,
     title = {A Rate-Disortion [sic] Perspective on Local Differential Privacy},
     url = {http://dx.doi.org/10.1109/ALLERTON.2014.7028550},
     year = {2014},
   }

3. K. I. Tsianos, A. D. Sarwate, and M. G. Rabbat, “Tradeoffs For Task Parallelization In Distributed Optimization,” in Proceedings of the IEEE International Workshop on Machine Learning For Signal Processing (MLSP), Reims, France, 2014, pp. 1–6.
   Bib DOILocal

   @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},
     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},
   }

4. A. Lalitha, A. D. Sarwate, and T. Javidi, “Social Learning and Distributed Hypothesis Testing,” in Proceedings of the 2014 IEEE International Symposium on Information Theory (ISIT), Honolulu, HI, USA, 2014, pp. 551–555.
   Bib DOILocal

   @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},
     month = jun,
     pages = {551--555},
     title = {Social Learning and Distributed Hypothesis Testing},
     url = {http://dx.doi.org/10.1109/ISIT.2014.6874893},
     year = {2014},
   }

5. F. Orabona, T. Hazan, A. D. Sarwate, and T. Jaakkola, “On Measure Concentration of Random Maximum A-Posteriori Perturbations,” in Proceedings of the 31st International Conference on Machine Learning (ICML), vol. 32, E. P. Xing and T. Jebara, Eds. Beijing, China: PLMR, 2014, pp. 432–440.
   arXiv Bib URLLocal

   @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)},
     editor = {Xing, Eric P. and Jebara, Tony},
     month = jun,
     pages = {432--440},
     publisher = {PLMR},
     series = {JMLR Workshop and Conference Proceedings},
     title = {On Measure Concentration of Random Maximum A-Posteriori Perturbations},
     volume = {32},
     year = {2014},
   }

2013

1. S. Song, K. Chaudhuri, and A. D. Sarwate, “Stochastic Gradient Descent with Differentially Private Updates,” in Proceedings of the 2013 Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, USA, 2013, pp. 245–248.
   Bib DOILocal

   @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},
     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. S. Sabato, A. D. Sarwate, and N. Srebro, “Auditing: Active Learning with Outcome-Dependent Query Costs,” in Advances in Neural Information Processing Systems (NIPS) 26, C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2013, pp. 512–520.
   arXiv Bib URLLocal

   @incollection{SabatoSS:13nips,
     author = {Sabato, Sivan and Sarwate, Anand D. and Srebro, Nathan},
     booktitle = {Advances in Neural Information Processing Systems (NIPS) 26},
     editor = {Burges, C.J.C. and Bottou, L. and Welling, M. and Ghahramani, Z. and Weinberger, K.Q.},
     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. V. M. Prabhakaran and A. D. Sarwate, “Assisted Sampling of Correlated Sources,” in Proceedings of the 2013 IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, 2013, pp. 3155–3159.
   Bib DOILocal

   @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},
     month = jul,
     pages = {3155--3159},
     title = {Assisted Sampling of Correlated Sources},
     url = {http://dx.doi.org/10.1109/ISIT.2013.6620807},
     year = {2013},
   }

2012

1. K. Chaudhuri, A. D. Sarwate, and K. Sinha, “Near-optimal Differentially Private Principal Components,” in Advances in Neural Information Processing Systems (NIPS) 25, P. Bartlett, F. C. N. Pereira, C. J. C. Burges, L. Bottou, and K. Q. Weinberger, Eds. Curran Associates, Inc., 2012, pp. 989–997.
   Bib URL

   @incollection{ChaudhuriSS:12nips,
     author = {Chaudhuri, Kamalika and Sarwate, Anand D. and Sinha, Kaushik},
     booktitle = {Advances in Neural Information Processing Systems (NIPS) 25},
     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},
     year = {2012},
   }

2. A. D. Sarwate, “Merging Opinions by Social Sampling of Posteriors,” in Proceedings of the 50th Annual Allerton Conference on Communication, Control and Computation, Monticello, IL, USA, 2012, pp. 379–385.
   Bib DOI

     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},
   }

3. A. D. Sarwate, “An AVC perspective on correlated jamming,” in Proceedings of the International Conference on Signal Processing and Communications (SPCOM), Bangalore, India, 2012, pp. 1–5.
   Bib DOI

   @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},
   }

4. B. K. Dey, S. Jaggi, M. Langberg, and A. 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), Cambridge, MA, USA, 2012, pp. 681–685.
   Bib DOI

   @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},
   }

5. A. D. Sarwate and T. Javidi, “Distributed learning from social sampling,” in Proceedings of the 46th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2012.
   Bib DOI

   @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},
   }

2011

1. A. D. Sarwate and T. Javidi, “Opinion Dynamics and Distributed Learning of Distributions,” in Proceedings of the 49th Annual Allerton Conference on Communication, Control and Computation, Monticello, IL, USA, 2011, pp. 1151–1158.
   Bib DOI

   @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. S. A. Vinterbo, A. D. Sarwate, and A. Boxwala, “Protecting Count Queries in Cohort Identification,” in Proceedings of the 2011 AMIA Summit on Clinical Research Informatics, San Francisco, CA, USA, 2011, pp. 1–1.
   Bib URL

   @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. M. Wigger and A. D. Sarwate, “Linear Strategies for the Gaussian MAC With User Cooperation,” in Proceedings of the 48th Annual Allerton Conference on Communication, Control and Computation, Monticello, IL, USA, 2010, pp. 1046–1053.
   Bib DOI

   @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. N. P. Santhanam, M. Madiman, and A. D. Sarwate, “Redundancy of exchangeable estimators,” in Proceedings of the 48th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 2010, pp. 1153–1157.
   Bib DOI

   @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},
   }

3. S. Checkoway, A. Sarwate, and H. Shacham, “Single-Ballot Risk-Limiting Audits Using Convex Optimization,” in Proceedings of the 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE), Washington, DC, USA, 2010, pp. 1–15.
   Bib URLLocal

   @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)},
     month = aug,
     pages = {1--15},
     title = {Single-Ballot Risk-Limiting Audits Using Convex Optimization},
     year = {2010},
   }

4. A. D. Sarwate, “Coding against myopic adversaries,” in Proceedings of the 2010 Information Theory Workshop (ITW), Dublin, Ireland, 2010, pp. 1–5.
   Bib DOI

   @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},
   }

5. B. K. Dey, M. Langberg, S. Jaggi, and A. D. Sarwate, “Coding against delayed adversaries,” in Proceedings of the 2010 IEEE International Symposium on Information Theory (ISIT), Austin, Texas, USA, 2010, pp. 285–289.
   Bib DOI

   @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},
   }

2009

1. A. D. Sarwate and A. G. Dimakis, “Gossip and consensus in mobile networks,” in Proceedings of the Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Aruba, Duch Antilles, 2009, pp. 57–60.
   Bib DOI

   @inproceedings{SarwateD:09camsap,
     address = {Aruba, Duch Antilles},
     author = {Sarwate, Anand D. and Dimakis, Alexandros G.},
     booktitle = {Proceedings of the Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
     doi = {10.1109/CAMSAP.2009.5413238},
     month = dec,
     pages = {57--60},
     title = {Gossip and consensus in mobile networks},
     url = {http://dx.doi.org/10.1109/CAMSAP.2009.5413238},
     year = {2009},
   }

2. T. C. Aysal, A. D. Sarwate, and A. G. Dimakis, “Reaching consensus in wireless networks with probabilistic broadcast,” in Proceedings of the 47th Annual Allerton Conference on Communication, Control, and Computation, Monticello, IL, USA, 2009, pp. 732–739.
   Bib DOI

   @inproceedings{AysalSD:09allerton,
     address = {Monticello, IL, USA},
     author = {Aysal, Tuncer Can and Sarwate, Anand D. and Dimakis, Alexandros G.},
     booktitle = {Proceedings of the 47th Annual Allerton Conference on Communication, Control, and Computation},
     doi = {10.1109/ALLERTON.2009.5394935},
     month = sep,
     pages = {732--739},
     title = {Reaching consensus in wireless networks with probabilistic broadcast},
     url = {http://dx.doi.org/10.1109/ALLERTON.2009.5394935},
     year = {2009},
   }

3. A. D. Sarwate and M. Gastpar, “Some observations on limited feedback for multiaccess channels,” in Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT), Seoul, South Korea, 2009.
   Bib DOI

   @inproceedings{SarwateG:09isit,
     address = {Seoul, South Korea},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 2009 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2009.5205742},
     month = jun,
     title = {Some observations on limited feedback for multiaccess channels},
     url = {http://dx.doi.org/10.1109/ISIT.2009.5205742},
     year = {2009},
   }

4. A. D. Sarwate and A. G. Dimakis, “The Impact of Mobility on Gossip Algorithms,” in Proceedings of the 28th Annual International Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, 2009, pp. 2088–2096.
   Bib DOI

   @inproceedings{SarwateD:09infocom,
     address = {Rio de Janeiro, Brazil},
     author = {Sarwate, Anand D. and Dimakis, Alexandros G.},
     booktitle = {Proceedings of the 28th Annual International Conference on Computer Communications (INFOCOM)},
     doi = {10.1109/INFCOM.2009.5062132},
     month = apr,
     pages = {2088--2096},
     title = {The Impact of Mobility on Gossip Algorithms},
     url = {http://dx.doi.org/10.1109/INFCOM.2009.5062132},
     year = {2009},
   }

2008

1. T. C. Aysal, M. E. Yildiz, A. D. Sarwate, and A. Scaglione, “Broadcast Gossip Algorithms: Design and Analysis for Consensus,” in Proceedings of the 47th IEEE Conference on Decision and Control (CDC), Cancún, Mexico, 2008, pp. 4843–4848.
   Bib DOI

   @inproceedings{AysalYSS:08cdc,
     address = {Canc\'{u}n, Mexico},
     author = {Aysal, Tuncer Can and Yildiz, Mehmet Ercan and Sarwate, Anand D. and Scaglione, Anna},
     booktitle = {Proceedings of the 47th IEEE Conference on Decision and Control (CDC)},
     doi = {10.1109/CDC.2008.4739315},
     month = dec,
     pages = {4843--4848},
     title = {Broadcast Gossip Algorithms: Design and Analysis for Consensus},
     url = {http://dx.doi.org/10.1109/CDC.2008.4739315},
     year = {2008},
   }

2. A. D. Sarwate and M. Gastpar, “Arbitrarily dirty paper coding and applications,” in Proceedings of the 2008 IEEE International Symposium on Information Theory (ISIT), Toronto, Canada, 2008, pp. 925–929.
   Bib DOI

   @inproceedings{SarwateG:08isit,
     address = {Toronto, Canada},
     author = {Sarwate, Anand D. and Gastpar, M.},
     booktitle = {Proceedings of the 2008 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2008.4595122},
     month = jul,
     pages = {925--929},
     title = {Arbitrarily dirty paper coding and applications},
     url = {http://dx.doi.org/10.1109/ISIT.2008.4595122},
     year = {2008},
   }

3. A. D. Sarwate and M. Gastpar, “Adversarial interference models for multiantenna cooperative systems,” in Proceedings of the 42nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2008, pp. 785–790.
   Bib DOILocal

   @inproceedings{Sarwate08:ciss,
     address = {Princeton, NJ, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 42nd Annual Conference on Information Sciences and Systems (CISS)},
     doi = {10.1109/CISS.2008.4558627},
     month = mar,
     pages = {785--790},
     title = {Adversarial interference models for multiantenna cooperative systems},
     url = {http://dx.doi.org/10.1109/CISS.2008.4558627},
     year = {2008},
   }

2007

1. A. D. Sarwate and M. Gastpar, “Rateless coding with partial CSI at the decoder,” in Proceedings of the 2007 Information Theory Workshop (ITW), Lake Tahoe, CA, USA, 2007, pp. 378–383.
   Bib DOI

   @inproceedings{SarwateG:07itw,
     address = {Lake Tahoe, CA, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 2007 Information Theory Workshop (ITW)},
     doi = {10.1109/ITW.2007.4313104},
     month = sep,
     pages = {378--383},
     url = {http://dx.doi.org/10.1109/ITW.2007.4313104},
     year = {2007},
   }

2. A. D. Sarwate, B. Nazer, and M. Gastpar, “Spatial filtering in sensor networks using computation codes,” in Proceedings of the 2007 IEEE Statistical Signal Processing Workshop (SSP), Madison, WI, USA, 2007, pp. 635–639.
   Bib DOILocal

   @inproceedings{SarwateNG:07spatial,
     address = {Madison, WI, USA},
     author = {Sarwate, Anand D. and Nazer, Bobak and Gastpar, Michael},
     booktitle = {Proceedings of the 2007 IEEE Statistical Signal Processing Workshop (SSP)},
     doi = {10.1109/SSP.2007.4301336},
     month = aug,
     pages = {635--639},
     url = {http://dx.doi.org/10.1109/SSP.2007.4301336},
     year = {2007},
   }

3. A. D. Sarwate and M. Gastpar, “Channels with nosy ‘noise,’” in Proceedings of the 2007 IEEE International Symposium on Information Theory (ISIT), Nice, France, 2007, pp. 996–1000.
   Bib DOI

   @inproceedings{SarwateG:07isit,
     address = {Nice, France},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 2007 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2007.4557354},
     month = jun,
     pages = {996--1000},
     title = {Channels with nosy ``noise''},
     url = {http://dx.doi.org/10.1109/ISIT.2007.4557354},
     year = {2007},
   }

4. K. Eswaran, A. D. Sarwate, A. Sahai, and M. Gastpar, “Using zero-rate feedback on binary additive channels with individual noise sequences,” in Proceedings of the 2007 IEEE International Symposium on Information Theory (ISIT), Nice, France, 2007, pp. 1431–1435.
   Bib DOI

   @inproceedings{EswaranSSG:07isit,
     address = {Nice, France},
     author = {Eswaran, Krishnan and Sarwate, Anand D. and Sahai, Anant and Gastpar, Michael},
     booktitle = {Proceedings of the 2007 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2007.4557423},
     month = jun,
     pages = {1431--1435},
     title = {Using zero-rate feedback on binary additive channels with individual noise sequences},
     url = {http://dx.doi.org/10.1109/ISIT.2007.4557423},
     year = {2007},
   }

2006

1. A. D. Sarwate and M. Gastpar, “Randomization for robust communication in networks, or ‘Brother, can you spare a bit?,’” in Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computation, Monticello, IL, USA, 2006, pp. 978–976.
   Bib

   @inproceedings{SarwateG:06brother,
     address = {Monticello, IL, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 44th Annual Allerton Conference on Communication, Control and Computation},
     month = sep,
     pages = {978--976},
     publisher = {Curran Associates, Inc.},
     title = {Randomization for robust communication in networks, or {``Brother, can you spare a bit?''}},
     year = {2006}
   }

2. A. D. Sarwate and M. Gastpar, “Randomization bounds on Gaussian arbitrarily varying channels,” in Proceedings of the 2006 IEEE International Symposium on Information Theory (ISIT), Seattle, WA, USA, 2006, pp. 2161–2165.
   Bib DOI

   @inproceedings{SarwateG:06gavc,
     address = {Seattle, WA, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 2006 IEEE International Symposium on Information Theory (ISIT)},
     doi = {10.1109/ISIT.2006.261933},
     month = jul,
     pages = {2161--2165},
     title = {Randomization bounds on {Gaussian} arbitrarily varying channels},
     url = {http://dx.doi.org/10.1109/ISIT.2006.261933},
     year = {2006},
   }

3. A. D. G. Dimakis, A. D. Sarwate, and M. J. Wainwright, “Geographic Gossip : Efficient Aggregation for Sensor Networks,” in 5th International Symposium on Information Processing in Sensor Networks (IPSN), Nashville, TN, USA, 2006, pp. 69–76.
   Bib DOI

   @inproceedings{DimakisSW:06ipsn,
     address = {Nashville, TN, USA},
     author = {Dimakis, Alexandros D.G. and Sarwate, Anand D. and Wainwright, Martin J.},
     booktitle = {5th International Symposium on Information Processing in Sensor Networks (IPSN)},
     doi = {10.1145/1127777.1127791},
     month = apr,
     pages = {69--76},
     title = {Geographic Gossip : Efficient Aggregation for Sensor Networks},
     url = {http://dx.doi.org/10.1145/1127777.1127791},
     year = {2006},
   }

2005

1. A. D. Sarwate and M. Gastpar, “Fading observation alignment via feedback,” in Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks (IPSN), Los Angeles, CA, USA, 2005, pp. 317–323.
   Bib DOI

   @inproceedings{SarwateG:05ipsn,
     address = {Los Angeles, CA, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks (IPSN)},
     doi = {10.1109/IPSN.2005.1440941},
     month = apr,
     pages = {317--323},
     title = {Fading observation alignment via feedback},
     url = {http://dx.doi.org/10.1109/IPSN.2005.1440941},
     year = {2005},
   }

2. A. D. Sarwate and M. Gastpar, “Estimation from Misaligned Observations with Limited Feedback,” in Proceedings of the 39th Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, 2005, pp. 1–6.
   Bib

   @inproceedings{SarwateG:05ciss,
     address = {Baltimore, MD, USA},
     author = {Sarwate, Anand D. and Gastpar, Michael},
     booktitle = {Proceedings of the 39th Conference on Information Sciences and Systems (CISS)},
     month = mar,
     pages = {1--6},
     title = {Estimation from Misaligned Observations with Limited Feedback},
     year = {2005}
   }

Theses

2008

1. A. D. Sarwate, “Robust and adaptive communication under uncertain interference,” PhD thesis, University of California, Berkeley, 2008.
   Bib URLLocal

   @phdthesis{Sarwate:08thesis,
     author = {Sarwate, Anand D.},
     month = jul,
     school = {University of California, Berkeley},
     title = {Robust and adaptive communication under uncertain interference},
     year = {2008},
   }

2005

1. A. D. Sarwate, “Observation Uncertainty in Gaussian Sensor Networks,” Master's thesis, University of California, Berkeley, Berkeley, CA, USA, 2005.
   Bib URLLocal

   @mastersthesis{Sarwate:05ms,
     address = {Berkeley, CA, USA},
     author = {Sarwate, A. D.},
     month = dec,
     school = {University of California, Berkeley},
     title = {Observation Uncertainty in {Gaussian} Sensor Networks},
     year = {2005},
   }