25 citations · 56 across the 20 of their papers we have counts for
5 papers · 1 filter
Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
Senyao Li, Zhigang Zuo, Haozhao Wang +3
Collaborative edge-cloud frameworks have emerged as the main- stream paradigm for mobile automation, mitigating the latency and privacy risks inherent to monolithic cloud agents. H…
HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
Peirong Zheng, Wenchao Xu, Haozhao Wang +2
The deployment of large language models' (LLMs) inference at the edge can facilitate prompt service responsiveness while protecting user privacy. However, it is critically challeng…
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
Senyao Li, Haozhao Wang, Wenchao Xu +6
As large language models (LLMs) evolve, deploying them solely in the cloud or compressing them for edge devices has become inadequate due to concerns about latency, privacy, cost,…
Deploying Foundation Model Powered Agent Services: A Survey
Wenchao Xu, Jinyu Chen, Peirong Zheng +8
Foundation model (FM) powered agent services are regarded as a promising solution to develop intelligent and personalized applications for advancing toward Artificial General Intel…
Heterogeneity-aware Gradient Coding for Straggler Tolerance
Haozhao Wang, Song Guo, Bin Tang +2
Gradient descent algorithms are widely used in machine learning. In order to deal with huge volume of data, we consider the implementation of gradient descent algorithms in a distr…