2024
Personalized Local Differentially Private Federated Learning with Adaptive Client Sampling
ICASSP 2024accepted
Differentially Private Federated Learning (DP-FL) is a promising paradigm for training models on large-scale decentralized data under Differential Privacy (DP) guarantees which confronts two challenges: 1) providing a privacy guarantee without sacrificing model performance; 2) tackling system hetero…