Data mining information about people is becoming increasingly important in the data-driven society of the 21st century. Unfortunately, sometimes there are real-world considerations that …
This paper studies how a system operator and a set of agents securely execute a distributed projected gradient-based algorithm. In particular, each participant holds a set of problem …
T Ding, S Zhu, J He, C Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article studies the problem of distributed optimization in multiagent systems where each agent seeks to minimize the sum of all agents' objective functions using only local …
Y Wen, B Liu, M Ding, R Xie, L Song - Neurocomputing, 2022 - Elsevier
Because of the explosive growth of face photos as well as their widespread dissemination and easy accessibility in social media, the security and privacy of personal identity …
Data sharing is a central aspect of judicial systems. The openly accessible documents can make the judiciary system more transparent. On the other hand, the published legal …
Y Li, H Li, G Xu, T Xiang, R Lu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Benefitting from the outstanding capabilities of intelligent controlling and prediction, federated learning (FL) has been widely applied in Internet of Vehicle (IoV). However …
Training supervised machine learning models like deep learning requires high-quality labelled datasets that contain enough samples from various categories and specific cases …
Z Hong, S Guo, R Zhang, P Li, Y Zhan… - 2022 52nd Annual …, 2022 - ieeexplore.ieee.org
Payment channel network (PCN) is a promising off-chain technology for blockchain scalability, but it suffers from poor sustainability in practice. In other words, due to the …
In this work, we study the applications of differential privacy (DP) in the context of graph- structured data. We discuss the formulations of DP applicable to the publication of graphs …