3 citations · 4 across the 6 of their papers we have counts for
7 papers
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5
The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…
Video Object Recognition in Mobile Edge Networks: Local Tracking or Edge Detection?
Kun Guo, Yun Shen, Xijun Wang +3
Fast and accurate video object recognition, which relies on frame-by-frame video analytics, remains a challenge for resource-constrained devices such as traffic cameras. Recent adv…
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
Kun Guo, Xuefei Li, Xijun Wang +3
Federated learning (FL) and split learning (SL) are two effective distributed learning paradigms in wireless networks, enabling collaborative model training across mobile devices w…
Analysis of SINR Coverage in LEO Satellite Networks through Spatial Network Calculus
Yuting Tang, Yufan He, Yi Zhong +3
We introduce a new analytical framework, developed based on the spatial network calculus, for performance assessment of Low Earth Orbit (LEO) satellite networks. Specifically, we m…
Task-oriented Age of Information for Remote Inference with Hybrid Language Models
Shuying Gan, Xijun Wang, Chenyuan Feng +4
Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) through their advanced reasoning capabilities, but their extensive parameter sets introdu…
Identifying and Evaluating Inactive Heads in Pretrained LLMs
Pedro Sandoval-Segura, Xijun Wang, Ashwinee Panda +4
Attention is foundational to large language models (LLMs), enabling different heads to have diverse focus on relevant input tokens. However, learned behaviors like attention sinks,…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…