Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions

Hossein Zakerinia, Jonathan Scott, Christoph H. Lampert

Personalized federated learning has emerged as a popular approach to training on devices holding statistically heterogeneous data, known as clients. However, most existing approach…