Search Results for author: P. Zhang

Found 5 papers, 0 papers with code

REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices

no code implementations24 Sep 2023 Y. Li, X. Qin, J. Geng, R. Chen, Y. Hou, Y. Gong, M. Pan, P. Zhang

REW AFL introduces a novel PS utility function that jointly considers global FL training utilities and local energy utility, which integrates energy consumption and residual battery energy of candidate mobile devices.

Federated Learning

Energy-Aware Edge Association for Cluster-based Personalized Federated Learning

no code implementations6 Feb 2022 Y. Li, X. Qin, H. Chen, K. Han, P. Zhang

We formulate an accuracy-cost trade-off optimization problem by jointly considering model accuracy, communication resource allocation and energy consumption.

Management Personalized Federated Learning +1

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