6 papers
Joint Task Offloading, Inference Optimization and UAV Trajectory Planning for Generative AI Empowered Intelligent Transportation Digital Twin
Xiaohuan Li, Junchuan Fan, Bingqi Zhang +3
To implement the intelligent transportation digital twin (ITDT), unmanned aerial vehicles (UAVs) are scheduled to process the sensing data from the roadside sensors. At this time,…
Efficient Asynchronous Federated Evaluation with Strategy Similarity Awareness for Intent-Based Networking in Industrial Internet of Things
Shaowen Qin, Jianfeng Zeng, Haodong Guo +3
Intent-Based Networking (IBN) offers a promising paradigm for intelligent and automated network control in Industrial Internet of Things (IIoT) environments by translating high-lev…
A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
Xin Wang, Xiao Huan Li, Xun Wang
The integration of the Industrial Internet of Things (IIoT) with Artificial Intelligence-Generated Content (AIGC) offers new opportunities for smart manufacturing, but it also intr…
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game
Xiaohuan Li, Shaowen Qin, Xin Tang +5
The Industrial Internet of Things (IIoT) leverages Federated Learning (FL) for distributed model training while preserving data privacy, and meta-computing enhances FL by optimizin…
Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses
Xinru Wen, Jinbo Wen, Ming Xiao +5
Vehicular metaverses, blending traditional vehicular networks with metaverse technology, are expected to revolutionize fields such as autonomous driving. As virtual intelligent ass…
Diffusion Model-based Incentive Mechanism with Prospect Theory for Edge AIGC Services in 6G IoT
Jinbo Wen, Jiangtian Nie, Yue Zhong +5
The fusion of the Internet of Things (IoT) with Sixth-Generation (6G) technology has significant potential to revolutionize the IoT landscape. With the ultra-reliable and low-laten…