108 citations · 341 across the 24 of their papers we have counts for
24 papers
SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation
Zeinab Nezami, Evangelos Pournaras, Amir Borzouie +1
Smart mobility becomes paramount for meeting net-zero targets. However, autonomous, self-driving and electric vehicles require more than ever before an efficient, resilient and tru…
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Letian Zhang, Lixing Chen, Jie Xu
Recent breakthroughs in deep learning (DL) have led to the emergence of many intelligent mobile applications and services, but in the meanwhile also pose unprecedented computing ch…
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu, Heqiang Wang, Lixing Chen
This paper studies a federated learning (FL) system, where \textit{multiple} FL services co-exist in a wireless network and share common wireless resources. It fills the void of wi…
Adversarial Machine Learning based Partial-model Attack in IoT
Zhengping Luo, Shangqing Zhao, Zhuo Lu +2
As Internet of Things (IoT) has emerged as the next logical stage of the Internet, it has become imperative to understand the vulnerabilities of the IoT systems when supporting div…
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
This paper studies federated learning (FL) in a classic wireless network, where learning clients share a common wireless link to a coordinating server to perform federated model tr…
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost
Mengwei Yang, Linqi Song, Jie Xu +2
Privacy has raised considerable concerns recently, especially with the advent of information explosion and numerous data mining techniques to explore the information inside large v…
When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing
Zhengping Luo, Shangqing Zhao, Zhuo Lu +2
Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a f…
Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning
Lixing Chen, Jie Xu
Shared edge computing platforms, which enable Application Service Providers (ASPs) to deploy applications in close proximity to mobile users are providing ultra-low latency and loc…
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach
Lixing Chen, Jie Xu
Vehicular Cloud Computing (VCC) is a new technological shift which exploits the computation and storage resources on vehicles for computational service provisioning. Spare on-board…
Spatio-temporal Edge Service Placement: A Bandit Learning Approach
Lixing Chen, Jie Xu, Shaolei Ren +1
Shared edge computing platforms deployed at the radio access network are expected to significantly improve quality of service delivered by Application Service Providers (ASPs) in a…
Adaptive Fog Configuration for the Industrial Internet of Things
Lixing Chen, Pan Zhou, Liang Gao +1
Industrial Fog computing deploys various industrial services, such as automatic monitoring/control and imminent failure detection, at the Fog Nodes (FNs) to improve the performance…
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Jie Xu, Lixing Chen, Pan Zhou
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the network edge, thereby meeting the latency requirements of many emerging mobile a…
Collaborative Service Caching for Edge Computing in Dense Small Cell Networks
Lixing Chen, Jie Xu
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the proximity of data sources, thereby reducing service provision latency and saving…
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
Yuxuan Sun, Sheng Zhou, Jie Xu
Merging mobile edge computing (MEC) functionality with the dense deployment of base stations (BSs) provides enormous benefits such as a real proximity, low latency access to comput…
Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
Lixing Chen, Jie Xu
Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location…
Online Geographical Load Balancing for Mobile Edge Computing with Energy Harvesting
Jie Xu, Hang Wu, Lixing Chen +2
Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. Since providing gri…
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing
Jie Xu, Lixing Chen, Shaolei Ren
Mobile edge computing (a.k.a. fog computing) has recently emerged to enable in-situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid power…
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
Lixing Chen, Sheng Zhou, Jie Xu
The (ultra-)dense deployment of small-cell base stations (SBSs) endowed with cloud-like computing functionalities paves the way for pervasive mobile edge computing (MEC), enabling…
Energy Efficient Mobile Edge Computing in Dense Cellular Networks
Lixing Chen, Sheng Zhou, Jie Xu
Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs),…
E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing
Jie Xu, Yuxuan Sun, Lixing Chen +1
Merging mobile edge computing with the dense deployment of small cell base stations promises enormous benefits such as a real proximity, ultra-low latency access to cloud functiona…
Designing Security-Aware Incentives for Computation Offloading via Device-to-Device Communication
Jie Xu, Lixing Chen, Kun Liu +1
Computation offloading via device-to-device (D2D) communication, or D2D offloading, has recently been proposed to enhance mobile computing performance by exploiting spare computing…
Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing
Jie Xu, Shaolei Ren
Mobile edge computing (a.k.a. fog computing) has recently emerged to enable \emph{in-situ} processing of delay-sensitive applications at the edge of mobile networks. Providing grid…
Stochastic Epidemic Networks with Strategic Link Formation
Jie Xu
Understanding cascading failures or epidemics in networks is crucial for developing effective defensive mechanisms for many critical systems and infrastructures (e.g. biological, s…
Personalized Course Sequence Recommendations
Jie Xu, Tianwei Xing, Mihaela van der Schaar
Given the variability in student learning it is becoming increasingly important to tailor courses as well as course sequences to student needs. This paper presents a systematic met…