Artifact of the paper: FedE-ator: A Framework for Energy Consumption Measurement of Federated Learning in Reproducible

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Authors: Mai-Huong Do, Millian Poquet, Georges Da Costa B
Cited by: 0

Abstract

Please refer to the README.md (of Artifact Repo) for an understanding of the dataset and its usage.

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Green IT and Sustainability Energy Efficiency in Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN
Document type
Dataset