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Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

Neto, Polycarpo Souza et al.
arXiv (OAI Expanded) · Papers
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Statistical heterogeneity limits federated learning when a single global classifier cannot represent client-specific label distributions. In this work, we propose Personalized Federated Knowledge Distillation with Head Adaptation (pFedKDH), which aggregates only the shared backbone, keeps persistent
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