537 citations · 1.3k across the 21 of their papers we have counts for
23 papers
Breaking Cycles for Scalable Fair Ordering in Blockchain Systems
Jinchun He, Wangjie Qiu, Yizhong Liu +2
In blockchain systems, transaction order directly determines financial outcomes: unfair ordering enables front-running and sandwich attacks that have extracted over $686M from Eth…
User Assignment and Resource Allocation for Hierarchical Federated Learning over Wireless Networks
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
The large population of wireless users is a key driver of data-crowdsourced Machine Learning (ML). However, data privacy remains a significant concern. Federated Learning (FL) enco…
UAV-assisted Semantic Communication with Hybrid Action Reinforcement Learning
Peiyuan Si, Jun Zhao, Kwok-Yan Lam +1
In this paper, we aim to explore the use of uplink semantic communications with the assistance of UAV in order to improve data collection effiicency for metaverse users in remote a…
A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection
Peiyuan Si, Liangxin Qian, Jun Zhao +1
Unmanned aerial vehicles (UAVs) are promising for providing communication services due to their advantages in cost and mobility, especially in the context of the emerging Metaverse…
UAV aided Metaverse over Wireless Communications: A Reinforcement Learning Approach
Peiyuan Si, Wenhan Yu, Jun Zhao +2
Metaverse is expected to create a virtual world closely connected with reality to provide users with immersive experience with the support of 5G high data rate communication techni…
Enhancing Federated Learning with spectrum allocation optimization and device selection
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao +3
Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to i…
Resource Allocation and Resolution Control in the Metaverse with Mobile Augmented Reality
Peiyuan Si, Jun Zhao, Huimei Han +2
With the development of blockchain and communication techniques, the Metaverse is considered as a promising next-generation Internet paradigm, which enables the connection between…
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Ziyao Liu, Jiale Guo, Kwok-Yan Lam +1
With the increasing adoption of data-hungry machine learning algorithms, personal data privacy has emerged as one of the key concerns that could hinder the success of digital trans…
Secure Multi-Party Delegated Authorisation For Access and Sharing of Electronic Health Records
Kheng-Leong Tan, Chi-Hung Chi, Kwok-Yan Lam
Timely sharing of electronic health records (EHR) across providers is essential and significance in facilitating medical researches and prompt patients' care. With sharing, it is c…
Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu, Jiale Guo, Wenzhuo Yang +3
Over the recent years, with the increasing adoption of Federated Learning (FL) algorithms and growing concerns over personal data privacy, Privacy-Preserving Federated Learning (PP…
Analysis of Digital Sovereignty and Identity: From Digitization to Digitalization
Kheng-Leong Tan, Chi-Hung Chi, Kwok-Yan Lam
Advances in emerging technologies have accelerated digital transformation with the pervasive digitalization of the economy and society, driving innovations such as smart cities, in…
Fair and Differentially Private Distributed Frequency Estimation
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam +2
In order to remain competitive, Internet companies collect and analyse user data for the purpose of improving user experiences. Frequency estimation is a widely used statistical to…
A Comprehensive Survey of 6G Wireless Communications
Yang Zhao, Wenchao Zhai, Jun Zhao +4
While fifth-generation (5G) communications are being rolled out worldwide, sixth-generation (6G) communications have attracted much attention from both the industry and the academi…
Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and Cognitive Radio
Xin Liu, Kwok-Yan Lam, Feng Li +2
The explosive growth of bandwidth hungry Internet applications has led to the rapid development of new generation mobile network technologies that are expected to provide broadband…
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture
Mengmeng Yang, Ivan Tjuawinata, Kwok Yan Lam +2
Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection, where a group of workers is equipped with Internet-connected geolocated devices to collec…
Blockchain-Based Approach for Securing Spectrum Trading in Multibeam Satellite Systems
Feng Li, Kwok-Yan Lam, Min Jia +3
This paper presents a blockchain-based approach for securing spectrum sharing in multi-beam satellite systems. Satellite spectrum is a scarce resource that requires highly efficien…
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Helin Yang, Jun Zhao, Zehui Xiong +3
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for supporting data collection, artificial intelligence (AI) model training, and wireless commu…
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang, Lingjuan Lyu, Jun Zhao +2
With the fast development of Information Technology, a tremendous amount of data have been generated and collected for research and analysis purposes. As an increasing number of us…
Blockchain for the Internet of Vehicles towards Intelligent Transportation Systems: A Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato +5
Internet of Vehicles (IoV) is an emerging concept that is believed to help realise the vision of intelligent transportation systems (ITS). IoV has become an important research area…
Local Differential Privacy based Federated Learning for Internet of Things
Yang Zhao, Jun Zhao, Mengmeng Yang +5
Internet of Vehicles (IoV) is a promising branch of the Internet of Things. IoV simulates a large variety of crowdsourcing applications such as Waze, Uber, and Amazon Mechanical Tu…
Reviewing and Improving the Gaussian Mechanism for Differential Privacy
Jun Zhao, Teng Wang, Tao Bai +7
Differential privacy provides a rigorous framework to quantify data privacy, and has received considerable interest recently. A randomized mechanism satisfying -differentia…
Blockchain for Future Smart Grid: A Comprehensive Survey
Muhammad Baqer Mollah, Jun Zhao, Dusit Niyato +5
The concept of smart grid has been introduced as a new vision of the conventional power grid to figure out an efficient way of integrating green and renewable energy technologies.…
Autonomous Vehicle: Security by Design
Anupam Chattopadhyay, Kwok-Yan Lam
Security of (semi)-autonomous vehicles is a growing concern, first, due to the increased exposure of the functionality to the potential attackers; second, due to the reliance of ca…