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FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition

Fig 5

PSO-optimized feature selection pipeline.

Starting with 150 features, ensemble methods generate rankings aggregated via Borda count. PSO with 20 particles optimizes the feature subset iteratively using a sigmoid transfer function for binary selection.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0342953.g005