BAFL: A Blockchain-Based Asynchronous Federated Learning Framework
As an emerging distributed machine learning (ML) method, federated learning (FL) can protect data privacy through collaborative learning of artificial intelligence (AI) models across a large number of devices. However, inefficiency and vulnerability to poisoning attacks have slowed FL performance. T...
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Veröffentlicht in: | IEEE transactions on computers 2022-05, Vol.71 (5), p.1092-1103 |
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Sprache: | eng |
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