YuZhao Xiang

FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning

Federated Learning (FL) often suffers from degraded generalization under statistical heterogeneity, where client updates systematically deviate from the global objective. While recent Sharpness-Aware Minimization (SAM) methods promote locally flat solutions, they implicitly assume that local flatnes…