Optimizing privacy budget in differential privacy
Differential privacy gives formal guarantees to prevent privacy violations that may occur when computing on sensitive datasets. Queries can be issued to a sy...
Explaining differential privacy
Differential privacy provides formal guarantees on privacy; it provides a framework that allows the sharing of summary statistics of a dataset without disclo...
Federated machine learning across RedCap databases
REDCap is a popular database tool for research and survey applications with over 1.3 millions users [1]. It is primarily used in healthcare research to colle...
Preserving privacy with data synthesis
Legitimate privacy concerns often limit access to large datasets, either by requiring a very lengthy approval process, or by allowing access to only a small ...
Federated health ML systems survey
Data privacy concerns and inability to centralize health data are roadblocks to successful research collaborations. Federated research networks can help with...