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eess.SP2022
On Federated Learning with Energy Harvesting Clients
Cong Shen, Jing Yang, Jie Xu
Catering to the proliferation of Internet of Things devices and distributed machine learning at the edge, we propose an energy harvesting federated learning (EHFL) framework in thi…
eess.SP2021★ 3 cited
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges
Cong Shen, Jie Xu, Sihui Zheng +1
We advocate a new resource allocation framework, which we term resource rationing, for wireless federated learning (FL). Unlike existing resource allocation methods for FL, resourc…