Blockchain-Enabled Asynchronous Federated Learning in Edge Computing

The fast proliferation of edge computing devices brings an increasing growth of data, which directly promotes machine learning (ML) technology development. However, privacy issues during data collection for ML tasks raise extensive concerns. To solve this issue, synchronous federated learning (FL) i...

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Autors principals:	Yinghui Liu, Youyang Qu, Chenhao Xu, Zhicheng Hao, Bruce Gu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-05-01
Col·lecció:	Sensors
Matèries:	federated learning blockchain edge computing asynchronous convergence
Accés en línia:	https://www.mdpi.com/1424-8220/21/10/3335
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