ChenyuGuo

FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments

Semi-supervised federated learning (SSFL) has emerged as an effective approach to leverage unlabeled data distributed across multiple data owners for improving model generalization. Existing SSFL methods typically assume that labeled and unlabeled data share the same label space. However, in realist…