Performance Analysis and Optimization in Privacy-Preserving Federated Learning

29 Feb 2020Kang WeiJun LiMing DingChuan MaHang SuBo ZhangH. Vincent Poor

As a means of decentralized machine learning, federated learning (FL) has recently drawn considerable attentions. One of the prominent advantages of FL is its capability of preventing clients' data from being directly exposed to external adversaries... (read more)

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