A federated learning method that distills a universal model from cluster-specific models using data-free knowledge distillation and adaptive label weighting.
Density-based spatial cluster- ing of applications with noise
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Distilling A Universal Expert from Clustered Federated Learning
A federated learning method that distills a universal model from cluster-specific models using data-free knowledge distillation and adaptive label weighting.