5 citations · 8 across the 9 of their papers we have counts for
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cs.AI2025★ 1 cited
SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of Foundation Model-based Embodied Agents
Simon Sinong Zhan, Philip Wang, Yao Liu +13
We present SENTINEL, a framework for formally evaluating the physical safety of foundation model (FM)-based embodied agents. SENTINEL is the first to provide multi-level safety eva…
cs.LG2025
FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
Chuntian Chi, John Clapham, Leslie Cloud +4
Freezing-of-Gait (FoG) affects over 50% of mid-to-late stage Parkinson's disease (PD) patients, significantly impairing patients' mobility independence and reducing quality of life…
cs.LG2025★ 1 cited
P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices
Wei Fan, JinYi Yoon, Xiaochang Li +2
Split Learning (SL) is an emerging privacy-preserving machine learning technique that enables resource constrained edge devices to participate in model training by partitioning a m…