Jointly Optimizing Client Selection and Resource Management in Wireless Federated Learning for Internet of Things
IEEE Internet of Things Journal(2022)
摘要
Federated learning (FL) has been proposed to efficiently and privacy-preserving distributed machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients in IoT devices train their local models over the local data sets. The derived local models are uploaded to an FL server to generate a global model, broadcasted to the clients in the next global iteration for fur...
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关键词
Training,Computational modeling,Energy consumption,Wireless communication,Resource management,Servers,Data models
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