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Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data.

Alaa Awad AbdellatifNaram MhaisenAmr MohamedAiman ErbadMohsen GuizaniZaher DawyWassim Nasreddine
Published in: Future Gener. Comput. Syst. (2022)
Keyphrases
  • supervised learning
  • parallel execution
  • database
  • learning algorithm
  • decision trees
  • support vector
  • active learning
  • learning tasks
  • heterogeneous systems