4 papers
Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration
Haoxiang Luo, Yinqiu Liu, Ruichen Zhang +7
Edge computing enables real-time data processing closer to its source, thus improving the latency and performance of edge-enabled AI applications. However, traditional AI models of…
A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network
Haoxiang Luo, Gang Sun, Yinqiu Liu +4
Large Language Models (LLMs) have achieved remarkable success across a wide range of applications. However, individual LLMs often produce inconsistent, biased, or hallucinated outp…
A Trustworthy Multi-LLM Network: Challenges,Solutions, and A Use Case
Haoxiang Luo, Gang Sun, Yinqiu Liu +4
Large Language Models (LLMs) demonstrate strong potential across a variety of tasks in communications and networking due to their advanced reasoning capabilities. However, because…
DRDST: Low-latency DAG Consensus through Robust Dynamic Sharding and Tree-broadcasting for IoV
Runhua Chen, Haoxiang Luo, Gang Sun +3
The Internet of Vehicles (IoV) is emerging as a pivotal technology for enhancing traffic management and safety. Its rapid development demands solutions for enhanced communication e…