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FedVCPL-Diff: A Federated Convolutional Prototype Learning Framework with a Diffusion Model for Speech Emotion Recognition
DOI:10.1016/j.inffus.2025.103745.png)
Abstract
En 中文
• Federated learning enables speech emotion recognition without raw data sharing. • The approach ensures GDPR compliance, safeguarding speech data privacy and security. • Generative models are featured for data fusion of different models. • A valence-arousal-dominance exchange reduces the client communication overhead.
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