Aggregating intrinsic information to enhance BCI performance through federated learning

• Main Authors: Liu, Rui, Chen, Yuanyuan, Li, Anran, Ding, Yi, Yu, Han, Guan, Cuntai
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Federated learning; Brain–computer interface
• 在線閱讀: https://hdl.handle.net/10356/176045

Insufficient data is a long-standing challenge for Brain-Computer Interface (BCI) to build a high-performance deep learning model. Though numerous research groups and institutes collect a multitude of EEG datasets for the same BCI task, sharing EEG data from multiple sites is still challenging due t...