Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data

Junki Mori, Kosuke Kihara, Taiki Miyagawa +3

Federated learning (FL) commonly assumes that the server or some clients have labeled data, which is often impractical due to annotation costs and privacy concerns. Addressing this…