Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces

• Главные авторы: Tianwang Jia (Автор), Lubin Meng (Автор), Siyang Li (Автор), Jiajing Liu (Автор), Dongrui Wu (Автор)
• Формат: ‌
• Опубликовано: IEEE, 2024-01-01T00:00:00Z.
• Предметы: article
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Training an accurate classifier for EEG-based brain-computer interface (BCI) requires EEG data from a large number of users, whereas protecting their data privacy is a critical consideration. Federated learning (FL) is a promising solution to this challenge. This paper proposes Federated classificat...