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Federated learning (FL) collaboratively trains a shared global model depending on multiple local clients, while keeping the training data decentralized in order to preserve data privacy.
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S. Yang, H. Park, J. Byun, and C. Kim, “Robust federated learning with noisy labels,” IEEE Intelligent Systems , 2022
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