34 citations · 51 across the 15 of their papers we have counts for
16 papers
Edge-Cloud Collaborative Pothole Detection via Onboard Event Screening and Federated Temporal Segmentation
Yingjie Wu, Kongyang Chen, Tiancai Liang
Road potholes threaten driving safety and increase infrastructure maintenance costs, while large-scale and timely pothole detection remains challenging in urban road networks. Vehi…
Classification-Head Bias in Class-Level Machine Unlearning: Diagnosis, Mitigation, and Evaluation
Weidong Zheng, Kongyang Chen, Yuanwei Guo +1
Class-level machine unlearning aims to remove the influence of specified classes while preserving model utility on retained classes. Existing methods are commonly evaluated by reta…
Temporal-Decay Shapley: A Time-Aware Data Valuation Framework for Time-Series Data
Chuwen Pang, Bing Mi, Kongyang Chen
With the rapid development of machine learning applications on time-series data, accurately assessing the value of training samples has become essential for data selection, noise d…
Label Leakage Attacks in Machine Unlearning: A Parameter and Inversion-Based Approach
Weidong Zheng, Kongyang Chen, Yao Huang +2
With the widespread application of artificial intelligence technologies in face recognition and other fields, data privacy security issues have received extensive attention, especi…
Multi-Party Data Pricing for Complex Data Trading Markets: A Rubinstein Bargaining Approach
Bing Mi, Zhengwang Han, Kongyang Chen
With the rapid development of Internet of Things (IoT) and artificial intelligence technologies, data has become an important strategic resource in the new era. However, the growin…
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives
Kongyang Chen, Zeming Xu
In recent years, research on the data trading market has been continuously deepened. In the transaction process, there is an information asymmetry process between agents and seller…
AIGC-Assisted Digital Watermark Services in Low-Earth Orbit Satellite-Terrestrial Edge Networks
Kongyang Chen, Yikai Li, Wenjun Lan +2
Low Earth Orbit (LEO) satellite communication is a crucial component of future 6G communication networks, contributing to the development of an integrated satellite-terrestrial net…
Private Data Leakage in Federated Human Activity Recognition for Wearable Healthcare Devices
Kongyang Chen, Dongping Zhang, Sijia Guan +3
Wearable data serves various health monitoring purposes, such as determining activity states based on user behavior and providing tailored exercise recommendations. However, the in…
Data Trading Combination Auction Mechanism based on the Exponential Mechanism
Kongyang Chen, Zeming Xu, Bing Mi
With the widespread application of machine learning technology in recent years, the demand for training data has increased significantly, leading to the emergence of research areas…
Machine Unlearning in Contrastive Learning
Zixin Wang, Kongyang Chen
Machine unlearning is a complex process that necessitates the model to diminish the influence of the training data while keeping the loss of accuracy to a minimum. Despite the nume…
Machine Unlearning in Large Language Models
Kongyang Chen, Zixin Wang, Bing Mi +4
Recently, large language models (LLMs) have emerged as a notable field, attracting significant attention for its ability to automatically generate intelligent contents for various…
Security-Sensitive Task Offloading in Integrated Satellite-Terrestrial Networks
Wenjun Lan, Kongyang Chen, Jiannong Cao +4
With the rapid development of sixth-generation (6G) communication technology, global communication networks are moving towards the goal of comprehensive and seamless coverage. In p…
Federated Unlearning for Human Activity Recognition
Kongyang Chen, Dongping zhang, Yaping Chai +3
The rapid evolution of Internet of Things (IoT) technology has spurred the widespread adoption of Human Activity Recognition (HAR) in various daily life domains. Federated Learning…
EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence Systems
Kongyang Chen, Yi Lin, Hui Luo +4
In contemporary edge computing systems, decentralized edge nodes aggregate unprocessed data and facilitate data analytics to uphold low transmission latency and real-time data proc…
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen, Wenfeng Wang, Zixin Wang +3
Federated Contrastive Learning (FCL) represents a burgeoning approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients colla…
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang, Kongyang Chen, Jiannong Cao +5
Federated Contrastive Learning (FCL) is an emerging privacy-preserving paradigm in distributed learning for unlabeled data. In FCL, distributed parties collaboratively learn a glob…