Jonathan Scott

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

2025 · arXiv (Cornell University)

Personalized federated learning has emerged as a popular approach to training on devices holding statistically heterogeneous data, known as clients. However, most existing approaches require a client to have labeled data for training or finetuning …