PAC-DP: Personalized Adaptive Clipping for Differentially Private Federated Learning

Hao Zhou, Siqi Cai, Hua Dai +3

Differential privacy (DP) is crucial for safeguarding sensitive client information in federated learning (FL), yet traditional DP-FL methods rely predominantly on fixed gradient cl…