2 papers
q-bio.NC2026
CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG
Xiaobin Wong, Zhonghua Zhao, Haoran Guo +5
EEG-based neural decoding models often fail to generalize across acquisition sites due to structured, site-dependent biases implicitly exploited during training. We reformulate cro…
cs.LG2025
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game
Xiaohuan Li, Shaowen Qin, Xin Tang +5
The Industrial Internet of Things (IIoT) leverages Federated Learning (FL) for distributed model training while preserving data privacy, and meta-computing enhances FL by optimizin…