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FedCAT: Towards Accurate Federated Learning via Device Concatenation., , , , and . CoRR, (2022)FedMR: Fedreated Learning via Model Recombination., , , , and . CoRR, (2022)WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks., , , , , and . CoRR, (2023)FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation., , , , , , and . CoRR, (2022)FedMR: Federated Learning via Model Recombination., , , , , , , and . CoRR, (2023)EqGAN: Feature Equalization Fusion for Few-shot Image Generation., , , , , and . CoRR, (2023)HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation., , , , , and . CoRR, (2022)FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection., , , , , and . ISPA/BDCloud/SocialCom/SustainCom, page 56-63. IEEE, (2023)FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment., , , , , and . CoRR, (2022)Model-Contrastive Learning for Backdoor Elimination., , , , , , and . ACM Multimedia, page 8869-8880. ACM, (2023)