Aggregating intrinsic information to enhance BCI performance through federated learning

Aggregating intrinsic information to enhance BCI performance through federated learning

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...

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

Internet

https://hdl.handle.net/10356/176045

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