activity
20142023
most citedTechnique Report: Near-Optimal Routing Protection for SDN Networks Using Distributed Markov Approximation

35 citations · 84 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DC2023

Byzantine-Resilient Federated Learning at Edge

Youming Tao, Sijia Cui, Wenlu Xu +4

Both Byzantine resilience and communication efficiency have attracted tremendous attention recently for their significance in edge federated learning. However, most existing algori…

cs.NI2022★ 22 cited

Integrating IoT-Sensing and Crowdsensing with Privacy: Privacy-Preserving Hybrid Sensing for Smart Cities

Hanwei Zhu, Sid Chi-Kin Chau, Gladhi Guarddin +1

Data sensing and gathering is an essential task for various information-driven services in smart cities. On the one hand, Internet of Things (IoT) sensors can be deployed at certai…

cs.DC2021

Throughput Maximization of UAV Networks

Wenzheng Xu, Yueying Sun, Rui Zou +6

In this paper we study the deployment of multiple unmanned aerial vehicles (UAVs) to form a temporal UAV network for the provisioning of emergent communications to affected people…

cs.NI2018★ 9 cited

Delay-Energy Joint Optimization for Task Offloading in Mobile Edge Computing

Zhuang Wang, Weifa Liang, Meitian Huang +1

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to meet ever-increasing resource demands of mobile users, prolong battery lives of mobile devices, and short…

cs.NI2017★ 1 cited

Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multi-user Case

Jieqiong Chen, Guoqiang Mao, Changle Li +2

Capacity of vehicular networks with infrastructure support is both an interesting and challenging problem as the capacity is determined by the inter-play of multiple factors includ…

cs.DC2016★ 35 cited

Technique Report: Near-Optimal Routing Protection for SDN Networks Using Distributed Markov Approximation

Huawei Huang, Song Guo, Weifa Liang +2

Software Defined Networking (SDN) brings numbers of advantages along with many challenges. One particular concern is on the control-plane resilience, while the existing protection…

cs.IT2015★ 1 cited

Performance Analysis of Raptor Codes under Maximum-Likelihood (ML) Decoding

Peng Wang, Guoqiang Mao, Zihuai Lin +4

Raptor codes have been widely used in many multimedia broadcast/multicast applications. However, our understanding of Raptor codes is still incomplete due to the insufficient amoun…

cs.DB2014★ 16 cited

Efficient Truss Maintenance in Evolving Networks

Rui Zhou, Chengfei Liu, Jeffrey Xu Yu +2

Truss was proposed to study social network data represented by graphs. A k-truss of a graph is a cohesive subgraph, in which each edge is contained in at least k-2 triangles within…