Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection-Reference-Cited by-同舟云学术

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Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection

Published:2024-09 Issue: Volume:225 Page:156-170
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Savoia Martina,Prezioso Edoardo,Mele Valeria,Piccialli Francesco^ORCID

Publisher

Elsevier BV

Reference47 articles.

1. Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey;Duc;ACM Comput. Surv.,2019

2. A survey on edge and edge-cloud computing assisted cyber-physical systems;Cao;IEEE Trans. Ind. Inform.,2021

3. Federated optimization: Distributed optimization beyond the datacenter;Konečnỳ,2015

4. A review of applications in federated learning;Li;Comput. Ind. Eng.,2020

5. Federated learning on non-IID data: A survey;Zhu;Neurocomputing,2021

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