FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

Felix Sattler, Tim Korjakow, Roman Rischke +1

Federated Distillation (FD) is a popular novel algorithmic paradigm for Federated Learning, which achieves training performance competitive to prior parameter averaging based metho…