Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses

Yi Liu, Xingliang Yuan, Ruihui Zhao +3

Semi-supervised Federated Learning (SSFL) has recently drawn much attention due to its practical consideration, i.e., the clients may only have unlabeled data. In practice, these S…