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Adaptive Clustering-Based Model Aggregation for Federated Learning with Imbalanced Data.

Dong WangNaifu ZhangMeixia Tao
Published in: SPAWC (2021)
Keyphrases
  • class distribution
  • imbalanced data
  • test data
  • learning from imbalanced data
  • training samples
  • learning algorithm
  • prior knowledge
  • learning tasks
  • learning models
  • learning scheme
  • class labels
  • support vector machine