Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks

Jian Tang; Xiuhua Li; Hui Li; Min Xiong; Xiaofei Wang; Victor C. M. Leung

doi:10.1109/icc51166.2024.10623087

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JOURNAL ARTICLE

Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks

Jian Tang Xiuhua Li Hui Li Min Xiong Xiaofei Wang Victor C. M. Leung

Year: 2024 Pages: 956-961

DOI: 10.1109/icc51166.2024.10623087

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Keywords:

Computer science Edge computing Distributed computing Mobile computing Enhanced Data Rates for GSM Evolution Mobile edge computing Computer network Mobile device Server World Wide Web Artificial intelligence

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Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

Energy-Efficient Client Sampling for Federated Learning in Heterogeneous Mobile Edge Computing Networks

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