FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning

Jun Nie, Danyang Xiao, Lei Yang +1

Data heterogeneity across clients is one of the key challenges in Federated Learning (FL), which may slow down the global model convergence and even weaken global model performance…