LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces

no code implementations • 12 Oct 2023 • Jianchao Lu, Yuzhe Tian, Yang Zhang, Jiaqi Ge, Quan Z. Sheng, Xi Zheng

The efficiency, assessed on two public EEG datasets and two real-world EEG devices, significantly outperforms the state-of-the-art solution in accuracy ($82. 54\%$ versus $62. 22\%$) with fewer parameters (64. 9M compared to 183. 7M).

EEG Motor Imagery

SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems

no code implementations • 12 Mar 2021 • Chenhao Xu, Jiaqi Ge, Yong Li, Yao Deng, Longxiang Gao, Mengshi Zhang, Yong Xiang, Xi Zheng

Federated learning (FL) enables collaborative training of a shared model on edge devices while maintaining data privacy.

Edge-computing Federated Learning +1