3 papers
cs.NI2025
Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis
Tiao Tan, Fengxiao Tang, Linfeng Luo +3
Leverage large language model (LLM) to refer the fault is considered to be a potential solution for intelligent network fault diagnosis. However, how to represent network informati…
cs.LG2024
Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion
Linfeng Luo, Zhiqi Guo, Fengxiao Tang +2
The rapid growth of graph-structured data necessitates partitioning and distributed storage across decentralized systems, driving the emergence of federated graph learning to colla…
cs.NI2024
MSADM: Large Language Model (LLM) Assisted End-to-End Network Health Management Based on Multi-Scale Semanticization
Fengxiao Tang, Xiaonan Wang, Xun Yuan +4
Network device and system health management is the foundation of modern network operations and maintenance. Traditional health management methods, relying on expert identification…