Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics

no code implementations • 13 Mar 2024 • Zhuoxin Chen, Zhenyu Wu, Yang Ji

In the second stage, DFL-FS employs federated feature regeneration based on global feature statistics and utilizes resampling and weighted covariance to calibrate the global classifier to enhance the model's adaptability to long-tailed data distributions.

Federated Learning