Satyajee Srivastava

Aggregation Algorithm Selection for Non-IID Federated Learning in Healthcare: Analysis of Convergence, Privacy, and Communication Tradeoffs

With Federated Learning (FL), hospitals are able to train models together without moving patient data, which is important due to security laws such as HIPAA and GDPR that make most deployments legally prohibit training models with patient data in a central location. The larger issue is statistical. Hospitals likely hav...