Robust Federated Learning with Noisy and Heterogeneous Clients

Model heterogeneous federated learning is a challenging task since each client independently designs its own model. Due to the annotation difficulty and free-riding par-ticipant issue, the local client usually contains unavoidable and varying noises, which cannot be effectively addressed by existing... View More