Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data

Ljubomir Rokvic, Panayiotis Danassis, Boi Faltings

In Federated Learning, heterogeneity in client data distributions often means that a single global model does not have the best performance for individual clients. Consider for exa…