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Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.

Jianyi ZhangAng LiMinxue TangJingwei SunXiang ChenFan ZhangChangyou ChenYiran ChenHai Li
Published in: CoRR (2022)
Keyphrases
  • class imbalance
  • learning algorithm
  • learning process
  • active learning
  • prior knowledge
  • learning tasks
  • reinforcement learning
  • learning scheme
  • sampling methods
  • machine learning
  • training examples
  • class distribution