FedMLAC couples personalized local audio models with a shared plug-in model via bidirectional knowledge distillation, plus layer-wise pruning aggregation, to jointly address data, model, and label heterogeneity in federated audio classification.
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FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification
FedMLAC couples personalized local audio models with a shared plug-in model via bidirectional knowledge distillation, plus layer-wise pruning aggregation, to jointly address data, model, and label heterogeneity in federated audio classification.