FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-A ware Aggregation

Neural Information Processing Systems 

Personalization in federated learning has emerged as a crucial strategy to cater to diverse client-specific data characteristics.

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