Federated Learning: A Distributed Shared Machine Learning Method

Federated Learning: A Distributed Shared Machine Learning Method

Federated learning (FL) is a distributed machine learning (ML) framework. In FL, multiple clients collaborate to solve traditional distributed ML problems under the coordination of the central server without sharing their local private data with others. This paper mainly sorts out FLs based on machi...

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Bibliographic Details
Main Authors:	Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/8261663
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