activity
20232025
collaborators

7 papers

cs.CR2025

MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy

Chang Liu, Junzhou Zhao

The proliferation of streaming data analytics in data-driven applications raises critical privacy concerns, as directly collecting user data may compromise personal privacy. Althou…

cs.DC2024

Resource Allocation for Stable LLM Training in Mobile Edge Computing

Chang Liu, Jun Zhao

As mobile devices increasingly become focal points for advanced applications, edge computing presents a viable solution to their inherent computational limitations, particularly in…

cs.CR2024

Resource Allocation and Secure Wireless Communication in the Large Model-based Mobile Edge Computing System

Zefan Wang, Yitong Wang, Jun Zhao

With the rapid advancement of large models and mobile edge computing, transfer learning, particularly through fine-tuning, has become crucial for adapting models to downstream task…

cs.DC2024

Resource Allocation in Large Language Model Integrated 6G Vehicular Networks

Chang Liu, Jun Zhao

In the upcoming 6G era, vehicular networks are shifting from simple Vehicle-to-Vehicle (V2V) communication to the more complex Vehicle-to-Everything (V2X) connectivity. At the fore…

cs.CC2023

Transforms for Multiplicative and Fractional Programming with Broad Applications in Edge Computing and Communication Networks

Yitong Wang, Chang Liu, Jun Zhao

Multiplicative Programming (MP) pertains to a spectrum of optimization problems that involve product term(s). As computational paradigms of communication systems continue to evolve…

cs.DC2023

Optimization for the Metaverse over Mobile Edge Computing with Play to Earn

Chang Liu, Terence Jie Chua, Jun Zhao

The concept of the Metaverse has garnered growing interest from both academic and industry circles. The decentralization of both the integrity and security of digital items has spu…

cs.AI2023

Offloading and Quality Control for AI Generated Content Services in 6G Mobile Edge Computing Networks

Yitong Wang, Chang Liu, Jun Zhao

AI-Generated Content (AIGC), as a novel manner of providing Metaverse services in the forthcoming Internet paradigm, can resolve the obstacles of immersion requirements. Concurrent…