A Multi-Teacher Distilling Framework With Data Privacy for EEG Emotion Recognition
The proposed multi-teacher distillation framework with data privacy addresses the challenges of insufficient data availability, limited cross-domain knowledge transfer, and suboptimal feature extraction in subject-independent EEG emotion recognition, demonstrating strong potential for scalable and privacy-preserving emotion recognition applications.
Authors
- Tianhao Gu (ORCID: https://orcid.org/0000-0002-8635-8577)
- Jiaqi Yang (ORCID: https://orcid.org/0000-0002-5057-7604)
- Chong Lin (ORCID: https://orcid.org/0000-0002-7888-303X)
- Jiazhen Xu (ORCID: https://orcid.org/0000-0003-4824-789X)
Institutions
- Qingdao University (CN)
- Qingdao Agricultural University (CN)
Publication Details
- Journal
- Journal of Integrative Neuroscience
- Published
- 2025-11-27
- DOI
- https://doi.org/10.31083/jin44121
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00