Xuhao Ren

FedARC: Anchor-Guided Residual Compensation for Data and Model Heterogeneous Federated Learning

Federated learning (FL) allows clients to collaboratively train models without exposing private data, but practical FL is simultaneously challenged by data heterogeneity and model heterogeneity. Prior heterogeneous FL (HtFL) approaches often fail to handle fine-grained feature shifts, leading to wea…