Fengkai Xiang

Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer

Federated Learning (FL) faces significant challenges due to domain heterogeneity, where data from different clients exhibit substantial statistical shifts that hinder the generalization of the global model. Although existing methods attempt to mitigate this by exchanging class prototypes, they fall …