FedBAT combines hybrid adversarial training with augmentation-invariant self-distillation to improve both clean and robust accuracy in federated learning under non-IID data.
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Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
FedBAT combines hybrid adversarial training with augmentation-invariant self-distillation to improve both clean and robust accuracy in federated learning under non-IID data.