Noise-Robust Federated Learning via Interclient Co-Distillation
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Federated learning (FL) is a new learning paradigm that enables multiple clients to collaboratively train a high-performance model while preserving user privacy. However, the effectiveness of FL heavily relies on the availability of accurately labeled data, wh... ...
