most citedFederated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2025★ 1 cited

Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks

Xiumei Deng, Zehui Xiong, Binbin Chen +3

Large language models (LLMs) are proliferating rapidly at the edge, delivering intelligent capabilities across diverse application scenarios. However, their practical deployment in…

cs.NI2025

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access

Jiayi Lu, Wanting Yang, Zehui Xiong +4

With the booming development of generative artificial intelligence (GAI), semantic communication (SemCom) has emerged as a new paradigm for reliable and efficient communication. Th…

cs.IT2024

Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks

Haoyun Li, Ming Xiao, Kezhi Wang +2

This letter investigates an unmanned aerial vehicle (UAV) network with integrated sensing and communication (ISAC) systems, where multiple UAVs simultaneously sense the locations o…

cs.NI2024

Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution

Wanting Yang, Zehui Xiong, Song Guo +3

With the impressive generative capabilities of diffusion models, personalized content synthesis has emerged as the most highly anticipated. However, the large model sizes and itera…

cs.CY2024

Guiding IoT-Based Healthcare Alert Systems with Large Language Models

Yulan Gao, Ziqiang Ye, Ming Xiao +2

Healthcare alert systems (HAS) are undergoing rapid evolution, propelled by advancements in artificial intelligence (AI), Internet of Things (IoT) technologies, and increasing heal…