Author

Wenjun Yu

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Jul 2026

Personalized federated learning based on self-excluding aggregation with knowledge distillation

A federated learning framework based on self-excluding aggregation (FedSEA) is proposed by integrating dynamic sparsity-driven client grouping, self-excluding aggregation and cross-group knowledge distillation, which achieves superior performance on the Office-Home and CIFAR-10 datasets.

Wen-Zheng Bi, Wenjun Yu, Li-Hua Gong · Cluster Computing · 2 citations