A federated learning system that fuses facial and physiological signals for in-vehicle emotion recognition reports 87% accuracy, but the custom dataset and code are not released.
Using federated learning in the context of software-defined mobility systems for predictive quality of service,
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FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
A federated learning system that fuses facial and physiological signals for in-vehicle emotion recognition reports 87% accuracy, but the custom dataset and code are not released.