Scientific journal paper Q1
Entropy to mitigate non-IID data problem on Federated Learning for the Edge Intelligence environment
Fernanda C. Orlandi (Fernanda C. Orlandi); Julio C. S. dos Anjos (Julio C. S. dos Anjos); de Paz Santana, Juan Francisco (de Paz Santana, Juan Francisco); Valderi Leithardt (Valderi R. Q. Leithardt); Claudio F. R. Geyer (Claudio F. R. Geyer);
Journal Title
IEEE Access
Year (definitive publication)
2023
Language
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Country
United States of America
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Times Cited: 7

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Abstract
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Acknowledgements
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Keywords
Fields of Science and Technology Classification
  • Computer and Information Sciences - Natural Sciences
  • Other Engineering and Technology Sciences - Engineering and Technology
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Contributions to the Sustainable Development Goals of the United Nations

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Industry, innovation and infrastructure
Publication Identifiers
ci-pub-105342
2-s2.0-85165871054
cv-prod-id-3472637
WOS:001041977000001
10.1109/ACCESS.2023.3298704
10.1109/ACCESS.2023.3298704
WOS:001041977000001
2-s2.0-85165871054
Other Publication Details
2023
IEEE
Web of Science©; Scopus;
2169-3536 (print)
2169-3536 (online)
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