Spectral Co-Distillation for Personalized Federated Learning

Neural Information Processing Systems 

Personalized federated learning (PFL) has been widely investigated to address the challenge of data heterogeneity, especially when a single generic model is inadequate in satisfying the diverse performance requirements of local clients simultaneously.

Similar Docs  Excel Report  more

TitleSimilaritySource
None found