2 citations · 4 across the 9 of their papers we have counts for
6 papers · 1 filter
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…