Domain Sensitive Federated Learning with Fisher-Informed Pruning
A domain-sensitive federated pruning framework that preserves domain-invariant structures while retaining domain-specific representations and a structure-aware aggregation algorithm that fuses heterogeneous personalized architectures into a domain-generalized global model is proposed.
Chenchen Lin, Wenhao Yuan, Zhengji Xu et al.
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