COSMOS performs model-agnostic personalized federated learning via server-side clustering on pseudo-label predictions and distillation of cluster models, claiming exponential personalization risk contraction.
In: International Conference on Machine Learning (2021) 15 A Notation Table B Omitted Proofs B.1 Proof of Lemma 5.2 Proof
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COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication
COSMOS performs model-agnostic personalized federated learning via server-side clustering on pseudo-label predictions and distillation of cluster models, claiming exponential personalization risk contraction.