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A federated anti-forgetting representation method based on hybrid model architecture and gradient truncation

  • Hui Wang,
  • Jie Sun,
  • Tianyu Wo,
  • Xudong Liu,
  • Suzhen Pei

摘要

This paper formulates the anti-forgetting representation problem under UFCL and proposes FedAFR. The experiments show that FedAFR effectively improves the model’s anti-forgetting performance.