38 citations · 234 across the 201 of their papers we have counts for
15 papers · 1 filter
Prioritizing Gradient Sign Over Modulus: An Importance-Aware Framework for Wireless Federated Learning
Yiyang Yue, Jiacheng Yao, Wei Xu +3
Wireless federated learning (FL) facilitates collaborative training of artificial intelligence (AI) models to support ubiquitous intelligent applications at the wireless edge. Howe…
Wireless TokenCom: RL-Based Tokenizer Agreement for Multi-User Wireless Token Communications
Farshad Zeinali, Mahdi Boloursaz Mashhadi, Rahim Tafazolli
Token Communications (TokenCom) has recently emerged as an effective new paradigm, where tokens are the unified units of multimodal communications and computations, enabling effici…
Federated Customization of Large Models: Approaches, Experiments, and Insights
Yuchuan Ye, Ming Ding, Youjia Chen +2
In this article, we explore federated customization of large models and highlight the key challenges it poses within the federated learning framework. We review several popular lar…
Safe and Sustainable Electric Bus Charging Scheduling with Constrained Hierarchical DRL
Jiaju Qi, Lei Lei, Thorsteinn Jonsson +1
The integration of Electric Buses (EBs) with renewable energy sources such as photovoltaic (PV) panels is a promising approach to promote sustainable and low-carbon public transpor…
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
Weihong Qin, Aimin Wang, Geng Sun +5
Space-air-ground integrated multi-access edge computing (SAGIN-MEC) provides a promising solution for the rapidly developing low-altitude economy (LAE) to deliver flexible and wide…
Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization
Yang Li, Ruichen Zhang, Yinqiu Liu +4
The rapid advancement of Low-Altitude Economy Networks (LAENets) has enabled a variety of applications, including aerial surveillance, environmental sensing, and semantic data coll…
Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures
Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani +6
The rise of foundation models (FMs) has reshaped the landscape of machine learning. As these models continued to grow, leveraging geo-distributed data from wireless devices has bec…
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Changyuan Zhao, Guangyuan Liu, Ruichen Zhang +11
Edge General Intelligence (EGI) represents a transformative evolution of edge computing, where distributed agents possess the capability to perceive, reason, and act autonomously a…
Federated Learning-Enabled Hybrid Language Models for Communication-Efficient Token Transmission
Faranaksadat Solat, Joohyung Lee, Mohamed Seif +2
Hybrid Language Models (HLMs) combine the low-latency efficiency of Small Language Models (SLMs) on edge devices with the high accuracy of Large Language Models (LLMs) on centraliz…
Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning
Run Gu, Wei Xu, Zhaohui Yang +2
Task-oriented semantic communication enhances transmission efficiency by conveying semantic information rather than exact messages. Deep learning (DL)-based semantic communication…
Joint Resource Management for Energy-efficient UAV-assisted SWIPT-MEC: A Deep Reinforcement Learning Approach
Yue Chen, Hui Kang, Jiahui Li +6
The integration of simultaneous wireless information and power transfer (SWIPT) technology in 6G Internet of Things (IoT) networks faces significant challenges in remote areas and…
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
Yingkai Kang, Jiawen Kang, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that merges intelligent transportation systems with virtual spaces, leveraging advanced digital twin and Artificial Intelligence (AI)…
Optimizing Electric Bus Charging Scheduling with Uncertainties Using Hierarchical Deep Reinforcement Learning
Jiaju Qi, Lei Lei, Thorsteinn Jonsson +1
The growing adoption of Electric Buses (EBs) represents a significant step toward sustainable development. By utilizing Internet of Things (IoT) systems, charging stations can auto…
Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions
Jiani Fan, Lwin Khin Shar, Ruichen Zhang +5
Money laundering is a financial crime that obscures the origin of illicit funds, necessitating the development and enforcement of anti-money laundering (AML) policies by government…
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey
Yu Qiao, Phuong-Nam Tran, Ji Su Yoon +4
Reinforcement learning (RL)-based large language models (LLMs), such as ChatGPT, DeepSeek, and Grok-3, have attracted widespread attention for their remarkable capabilities in mult…