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Federated learning is an emerging distributed machine learning framework for privacy preservation.
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Fedfmc: Sequential efficient federated learning on non-iid data
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Fedfmc: Sequential efficient federated learning on non-iid data
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Xor mixup: Privacy-preserving data augmentation for one-shot federated learning
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VAFL: a method of vertical asynchronous federated learning
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Fedml: A research library and benchmark for federated machine learning
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