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Fed-DR-Filter: Using global data representation to reduce the impact of noisy labels on the performance of federated learning.

Shaoming DuanChuanyi LiuZhengsheng CaoXiaopeng JinPeiyi Han
Published in: Future Gener. Comput. Syst. (2022)
Keyphrases
  • data representation
  • supervised learning
  • learning process
  • feature construction
  • learning algorithm
  • domain specific
  • data representations
  • neural network
  • computer vision
  • knowledge acquisition
  • subspace learning