14 citations · 18 across the 10 of their papers we have counts for
10 papers
AgentVNE: LLM-Augmented Graph Reinforcement Learning for Affinity-Aware Multi-Agent Placement in Edge Agentic AI
Runze Zheng, Yuqing Zheng, Zhengyi Cheng +5
The Internet of Agents is propelling edge computing toward agentic AI and edge general intelligence (EGI). However, deploying multi-agent service (MAS) on resource-constrained edge…
A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
Jingzhao Xie, Zhenglian Li, Gang Sun +2
Computing Power Network (CPN) unifies wide-area computing resources through coordinated network control, while cloud-native abstractions enable flexible resource orchestration and…
Learning In Chaos: Efficient Autoscaling and Self-Healing for Multi-Party Distributed Training
Wenjiao Feng, Rongxing Xiao, Zonghang Li +6
Node and link churn in multi-party, cross-region clusters over wide-area networks (WANs) often disrupts distributed training. However, checkpoint-based recovery and cloud-centric a…
Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
Zonghang Li, Wenjiao Feng, Weibo Cai +5
Distributed machine learning is becoming increasingly popular for geo-distributed data analytics, facilitating the collaborative analysis of data scattered across data centers in d…
A Survey of Network Protocol Fuzzing: Model, Techniques and Directions
Shihao Jiang, Yu Zhang, Junqiang Li +3
As one of the most successful and effective software testing techniques in recent years, fuzz testing has uncovered numerous bugs and vulnerabilities in modern software, including…
Approximation Algorithms for Minimizing Congestion in Demand-Aware Networks
Wenkai Dai, Michael Dinitz, Klaus-Tycho Foerster +2
Emerging reconfigurable optical communication technologies allow to enhance datacenter topologies with demand-aware links optimized towards traffic patterns. This paper studies the…
Performance Analysis of Non-ideal Wireless PBFT Networks with mmWave and Terahertz Signals
Haoxiang Luo, Xiangyue Yang, Hongfang Yu +3
Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) is seen as th…
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse
Shenglai Zeng, Zonghang Li, Hongfang Yu +4
Federated Learning (FL), as a rapidly evolving privacy-preserving collaborative machine learning paradigm, is a promising approach to enable edge intelligence in the emerging Indus…
PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks
Miao Dai, Long Luo, Jing Ren +2
5G/B5G is envisioned to support various services with the assistance of network slices, each slice instance asks for adequate resources to provide the pre-negotiated service qualit…
Scalable Fine-grained Path Control in Software Defined Networks
Long Luo, Hongfang Yu, Shouxi Luo
The OpenFlow-based SDN is widely studied to better network performance through planning fine-grained paths. However, being designed to configure path hop-by-hop, it faces the scala…