AINeutralarXiv – CS AI · 7h ago6/10
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Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
Researchers propose FedTSP, a federated learning method that uses pre-trained language models to generate semantically-enriched prototypes for improving model performance across heterogeneous data. The approach leverages textual descriptions of classes to preserve semantic relationships while mitigating data heterogeneity challenges in federated settings.