37 citations · 189 across the 24 of their papers we have counts for
4 papers · 1 filter
PhyAI: Real-Time Physical AI at the Edge, Scalable Rollouts in the Cloud
Chenghua Wang, Daliang Xu, Dongqi Cai +23
Physical AI policies require inference throughout their lifecycle, including model evaluation, cloud reinforcement learning rollout, edge GPU serving, and onboard deployment. Altho…
MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agents
Yunhe Yan, Shihe Wang, Jiajun Du +12
(M)LLM-powered computer use agents (CUA) are emerging as a transformative technique to automate human-computer interaction. However, existing CUA benchmarks predominantly target GU…
Mobile Foundation Model as Firmware
Jinliang Yuan, Chen Yang, Dongqi Cai +9
In today's landscape, smartphones have evolved into hubs for hosting a multitude of deep learning models aimed at local execution. A key realization driving this work is the notabl…
FwdLLM: Efficient FedLLM using Forward Gradient
Mengwei Xu, Dongqi Cai, Yaozong Wu +2
Large Language Models (LLMs) are transforming the landscape of mobile intelligence. Federated Learning (FL), a method to preserve user data privacy, is often employed in fine-tunin…