Scheduling Algorithms for Federated Learning With Minimal Energy Consumption
Author:
Affiliation:
1. University of Bordeaux, CNRS, Bordeaux INP, Inria, LaBRI, UMR 5800, Talence, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/10043602/10032558.pdf?arnumber=10032558
Reference45 articles.
1. A first look into the carbon footprint of federated learning;qiu,2021
2. Accurate and Stable Run-Time Power Modeling for Mobile and Embedded CPUs
3. Towards the systematic reporting of the energy and carbon footprints of machine learning;henderson;J Mach Learn Res,2020
4. FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
5. Exploring federated learning on battery-powered devices
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