FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions

Ke Hu, Liyao Xiang, Peng Tang +1

Current federated-learning models deteriorate under heterogeneous (non-I.I.D.) client data, as their feature representations diverge and pixel- or patch-level objectives fail to ca…