Abstract: Knowledge distillation (KD) is a model compression technique that transfers knowledge from a complex and well-trained teacher model to a compact student model, thereby enabling the student ...
Abstract: Personalized federated learning is a decentralized approach that enables clients to collaboratively train a shared model while customizing it to their unique data and requirements. However, ...
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