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    FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

    Published 2025-01-01
    “…Experiments conducted on the NIH ChestX-ray14 dataset show that our method enhances the performance of the state-of-the-art and foundational methods by 2.15%, 0.95%, and 1.96% for FedAvg, FedDyn, and FedProx, respectively, using the AUC metric. …”
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