Federated Learning with Sample-level Client Drift Mitigation

Haoran Xu, Jiaze Li, Wanyi Wu +1

Federated Learning (FL) suffers from severe performance degradation due to the data heterogeneity among clients. Existing works reveal that the fundamental reason is that data hete…