134 citations · 232 across the 14 of their papers we have counts for
14 papers
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation
Ziyao Liu, Yu Jiang, Weifeng Jiang +3
Federated Unlearning (FU) is gaining prominence for its capability to eliminate influences of Federated Learning (FL) users' data from trained global FL models. A straightforward F…
Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao
Federated Learning (FL) is a promising machine learning approach for Internet of Things (IoT), but it has to address network congestion problems when the population of IoT devices…
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…
Mobile Augmented Reality with Federated Learning in the Metaverse
Xinyu Zhou, Jun Zhao
The Metaverse is deemed the next evolution of the Internet and has received much attention recently. Metaverse applications via mobile augmented reality (MAR) require rapid and acc…
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning
Tinghao Zhang, Zhijun Li, Yongrui Chen +2
Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight D…
Facial Landmark Predictions with Applications to Metaverse
Qiao Han, Jun Zhao, Kwok-Yan Lam
This research aims to make metaverse characters more realistic by adding lip animations learnt from videos in the wild. To achieve this, our approach is to extend Tacotron 2 text-t…
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…
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…
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…
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…