Tackling Data Heterogeneity in Federated Learning via Loss Decomposition

Shuang Zeng, Pengxin Guo, Shuai Wang +3

Federated Learning (FL) is a rising approach towards collaborative and privacy-preserving machine learning where large-scale medical datasets remain localized to each client. Howev…