1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.AI2026★ 1 cited
A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao, Huy Q. Le, Avi Deb Raha +7
The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remark…
cs.LG2026
ASPEN: Spectral-Temporal Fusion for Cross-Subject Brain Decoding
Megan Lee, Seung Ha Hwang, Inhyeok Choi +3
Cross-subject generalization in EEG-based brain-computer interfaces (BCIs) remains challenging due to individual variability in neural signals. We investigate whether spectral repr…
cs.LG2025
MultiDiffNet: A Multi-Objective Diffusion Framework for Generalizable Brain Decoding
Mengchun Zhang, Kateryna Shapovalenko, Yucheng Shao +2
Neural decoding from electroencephalography (EEG) remains fundamentally limited by poor generalization to unseen subjects, driven by high inter-subject variability and the lack of…