Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy

Xiang Li, Buxin Su, Chendi Wang +2

Differentially private (DP) decentralized Federated Learning (FL) allows local users to collaborate without sharing their data with a central server. However, accurately quantifyin…