May 9, 2022 · To address this issue, in this article, we investigate how to develop energy- efficient FL over 5G+ mobile devices by making a trade-off between ...
Our goal is to enable effective and efficient local training on 5G+ mobile devices while minimizing the overall energy consumption for FL over 5G+ mobile ...
Jan 13, 2021 · The goal is to minimize the overall FL energy consumption (computing + 5G transmissions) over 5G mobile devices while guaranteeing learning ...
To address this issue, in this paper, we investigate how to develop energy efficient FL over 5G+ mobile devices by making a trade-off between energy consumption ...
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Collaborative Research: CNS Core: Medium: Towards Federated Learning over 5G Mobile Devices: High Efficiency, Low Latency, and Good Privacy. NSF Org: CNS
This project takes FL over 5G mobile devices as a workable application scenario to address this problem. We aim to significantly improve the design, analysis, ...
CNS Core: Medium: Towards Federated Learning over 5G Mobile ...
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This project takes FL over 5G mobile devices as a workable application scenario to address this dilemma, which will significantly improve the design, analysis ...
Jun 18, 2023 · Energy efficiency is essential for federated learning (FL) over mobile devices and its potential prosperous applications.
This project takes FL over 5G mobile devices as a workable application scenario to address this dilemma, which will significantly improve the design, analysis ...
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