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