2 citations · 4 across the 9 of their papers we have counts for
9 papers
Skill Description Deception Attack against Task Routing in Internet of Agents
Jiayi He, Xiaofeng Luo, Jiawen Kang +3
A new paradigm, Internet of Agents (IoA), is transforming networked systems into LLM-driven service networks, where heterogeneous agents collaborate through task routing based on t…
Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing
Ruichen Zhang, Xiaofeng Luo, Jiayi He +3
This paper investigates compact large language model (LLM) deployment and world-model-assisted inference offloading in mobile edge computing (MEC) networks. We first propose an edg…
Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach
Xiaofeng Luo, Jiayi He, Jiawen Kang +4
The emergence of 6G-enabled vehicular metaverses enables Autonomous Vehicles (AVs) to operate across physical and virtual spaces through space-air-ground-sea integrated networks. T…
Toward Democratized Generative AI in Next-Generation Mobile Edge Networks
Ruichen Zhang, Jiayi He, Xiaofeng Luo +5
The rapid development of generative AI technologies, including large language models (LLMs), has brought transformative changes to various fields. However, deploying such advanced…
Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G Networks
Jiayi He, Xiaofeng Luo, Jiawen Kang +5
Semantic Communication (SemCom) plays a pivotal role in 6G networks, offering a viable solution for future efficient communication. Deep Learning (DL)-based semantic codecs further…
Privacy-preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses
Cheng Su, Xiaofeng Luo, Zhenmou Liu +5
The emergence of mobile social metaverses, a novel paradigm bridging physical and virtual realms, has led to the widespread adoption of avatars as digital representations for Socia…
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Jiawen Kang, Xiaofeng Luo, Jiangtian Nie +6
Driven by the great advances in metaverse and edge computing technologies, vehicular edge metaverses are expected to disrupt the current paradigm of intelligent transportation syst…
Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration
Junhong Zhang, Jiangtian Nie, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that integrates extended reality technologies and real-time sensing data to bridge the physical space and digital spaces for intellige…
Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses
Xiaofeng Luo, Jinbo Wen, Jiawen Kang +5
The gradual fusion of intelligent transportation systems with metaverse technologies is giving rise to vehicular metaverses, which blend virtual spaces with physical space. As indi…