FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche +1

Conventional gradient-sharing approaches for federated learning (FL), such as FedAvg, rely on aggregation of local models and often face performance degradation under differential…