Joint Domain-Class Modeling for Federated Learning Under Feature Skew
Federated learning (FL) enables collaborative model training without centralizing private data, but performance often degrades under feature skew: clients share labels while the conditional input distributions $p_i(x\!\mid\!y)$ vary due to latent, client-specific appearance factors. We propose Joint Domain-Class Federa...
Sina Najafi, Mostafa Tavassolipour, S. P. Shariatpanahi
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