P. Rajamani

Privacy-Preserving Federated Learning with Differential Privacy: Methods, Threats, and Future Directions

Federated Learning (FL) and Differential Privacy (DP) have become fundamental techniques for building privacy-preserving and decentralized machine learning systems. FL supports collaborative training of models over distributed devices and organizations without exchanging raw data and DP enhances privacy guarantees by a...