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L. Degioanni

1 paper here

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fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedEvaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 2 cited

Evaluating the Energy Consumption of Machine Learning: Systematic Literature Review and Experiments

Charlotte Rodriguez, Laura Degioanni, Laetitia Kameni +2

Monitoring, understanding, and optimizing the energy consumption of Machine Learning (ML) are various reasons why it is necessary to evaluate the energy usage of ML. However, there…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.