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FedVCPL-Diff: A Federated Convolutional Prototype Learning Framework with a Diffusion Model for Speech Emotion Recognition

delete2025-09-16
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PRE
AI
R
Ruobing Li
Y
Yifan Feng
L
Liuxian Ma
H
Haojie Zhang
钱昆 (Kun Qian)
B
Bin Hu
Y
Yoshiharu Yamamoto
B
Björn W. Schuller
DOI:10.1016/j.inffus.2025.103745delete
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Abstract

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.

Journal

Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

Organization

E
educational physiology laboratory
Scholars:
1
Papers: 1
Citations: 0
G
GLAM
Scholars:
1
Papers: 1
Citations: 0
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