most citedPersonalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 3 cited

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation

Yang Lu, Pinxin Qian, Gang Huang +1

Personalized Federated Learning (PFL) aims to learn personalized models for each client based on the knowledge across all clients in a privacy-preserving manner. Existing PFL metho…