A causality-inspired FedDG framework with device style intervention network, counterfactual text augmentation, and gradient alignment outperforms baselines on leave-one-device-out validation for RSC on ICBHI and SPRSound datasets.
Federated out-of- distribution generalization: A causal augmentation view,
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Mitigating Stethoscope-Induced Shortcuts in Respiratory Sound Classification under Federated Domain Generalization with Causality-Inspired Interventions
A causality-inspired FedDG framework with device style intervention network, counterfactual text augmentation, and gradient alignment outperforms baselines on leave-one-device-out validation for RSC on ICBHI and SPRSound datasets.