107 citations · 181 across the 11 of their papers we have counts for
11 papers
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling
Yuxi Zhao, Xiaowen Gong, Shiwen Mao
Federated learning (FL) has emerged as a promising paradigm that trains machine learning (ML) models on clients' devices in a distributed manner without the need of transmitting cl…
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
Qingze Fang, Zhiwei Zhai, Shuai Yu +3
The space-air-ground integrated network (SAGIN), one of the key technologies for next-generation mobile communication systems, can facilitate data transmission for users all over t…
EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles
Shuai Yu, Xiaowen Gong, Qian Shi +2
Edge computing-enhanced Internet of Vehicles (EC-IoV) enables ubiquitous data processing and content sharing among vehicles and terrestrial edge computing (TEC) infrastructures (e.…
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
Shuai Yu, Xu Chen, Zhi Zhou +2
Ultra-dense edge computing (UDEC) has great potential, especially in the 5G era, but it still faces challenges in its current solutions, such as the lack of: i) efficient utilizati…
Delay-Optimal Distributed Edge Computing in Wireless Edge Networks
Xiaowen Gong
By integrating edge computing with parallel computing, distributed edge computing (DEC) makes use of distributed devices in edge networks to perform computing in parallel, which ca…
Amazon in the White Space: Social Recommendation Aided Distributed Spectrum Access
Xu Chen, Xiaowen Gong, Lei Yang +1
Distributed spectrum access (DSA) is challenging since an individual secondary user often has limited sensing capabilities only. One key insight is that channel recommendation amon…
Exploiting Social Tie Structure for Cooperative Wireless Networking: A Social Group Utility Maximization Framework
Xu Chen, Xiaowen Gong, Lei Yang +1
In this paper, we develop a social group utility maximization (SGUM) framework for cooperative wireless networking that takes into account both social relationships and physical co…
Exploiting Social Trust Assisted Reciprocity (STAR) towards Utility-Optimal Socially-aware Crowdsensing
Xiaowen Gong, Xu Chen, Junshan Zhang +1
Mobile crowdsensing takes advantage of pervasive mobile devices to collect and process data for a variety of applications (e.g., traffic monitoring, spectrum sensing). In this stud…
A Coverage Theory of Bistatic Radar Networks: Worst-Case Intrusion Path and Optimal Deployment
Xiaowen Gong, Junshan Zhang, Douglas Cochran
In this paper, we study optimal radar deployment for intrusion detection, with focus on network coverage. In contrast to the disk-based sensing model in a traditional sensor networ…
Optimal Bandwidth and Power Allocation for Sum Ergodic Capacity under Fading Channels in Cognitive Radio Networks
Xiaowen Gong, Sergiy A. Vorobyov, Chintha Tellambura
This paper studies optimal bandwidth and power allocation in a cognitive radio network where multiple secondary users (SUs) share the licensed spectrum of a primary user (PU) under…
Joint Bandwidth and Power Allocation with Admission Control in Wireless Multi-User Networks With and Without Relaying
Xiaowen Gong, Sergiy A. Vorobyov, Chintha Tellambura
Equal allocation of bandwidth and/or power may not be efficient for wireless multi-user networks with limited bandwidth and power resources. Joint bandwidth and power allocation st…