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WebMar 29, 2024 · For the sake of evaluation, we perform searches in a single thread. Here, we need to optimize the trade-off between accuracy and search time, since memory usage … WebMar 28, 2024 · Numerical results show that the proposed framework is superior to the state-of-art FL schemes in both model accuracy and convergent rate for IID and Non-IID datasets. Federated Learning (FL) is a novel machine learning framework, which enables multiple distributed devices cooperatively to train a shared model scheduled by a central server …

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