Aggregating intrinsic information to enhance BCI performance through federated learning

• Main Authors: Liu, Rui, Chen, Yuanyuan, Li, Anran, Ding, Yi, Yu, Han, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Federated learning; Brain–computer interface
• Online Access: https://hdl.handle.net/10356/176045
• Institution: Nanyang Technological University

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...