federated learning for neuroimaging
collaborative science with privacy
This is a large-scale project, funded by the NIH, to build a platform for collaborative research using neuroimaging. I work on aspects of decentralized/”federated” learning and understanding how privacy can be guaranteed in such systems. Our current efforts are focused on understanding privacy in data visualization.
See the COINSTAC site for all the details!
Support
- NIH 2R01DA040487
COINSTAC 2.0: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (GSU) – subaward to Rutgers: Anand D. Sarwate (PI)) - NIH 1R01DA040487-01A1
COINSTAC: Decentralized, Scalable Analysis of Loosely Coupled Data
(PI: Vince Calhoun (MRN) – subaward to Rutgers: Anand D. Sarwate (PI))