X Shen, H Jiang, Y Chen, B Wang, L Gao - Entropy, 2023 - mdpi.com
As a popular machine learning method, federated learning (FL) can effectively solve the issues of data silos and data privacy. However, traditional federated learning schemes …
Q Li, J Liu, Y Sun, C Zhang, D Dou - Applied Intelligence, 2024 - Springer
Abstract In recent years, Deep Neural Networks (DNN) have emerged as a practical method for image recognition. The raw data, which contain sensitive information, are generally …
Y Zhao, J Zhao, J Kang, Z Zhang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
An increasing amount of users' sensitive information is now being collected for analytics purposes. Differential privacy has been widely studied in the literature to protect the privacy …
H Lee, D Finke, H Yang - … of Computing and …, 2024 - asmedigitalcollection.asme.org
Rapid advances in sensing technology have enabled the collection of vast amounts of data from manufacturing operations, which has expedited big-data-driven innovations in …
Y Huang, K Xue, B Zhu, DSL Wei… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Set-valued data are commonly used to represent subsets of a universal set and are frequently utilized in online services, such as online shopping preferences, website …
H Song, H Shen, N Zhao, Z He, W Xiong, M Wu… - Journal of King Saud …, 2024 - Elsevier
Local differential privacy (LDP) is a state-of-the-art privacy notion that enables terminal participants to share their private data safely while controlling the privacy disclosure at the …
R Chen, X Chen, J Zhao - Computer Networks, 2024 - Elsevier
In recent years, with the escalating security demands of the Internet of Vehicles (IoV), concerns over safety have intensified. To prevent security incidents and privacy breaches …
D Zhang, L Zhang, Z Zhang, Z Zhang - International Journal of …, 2024 - igi-global.com
Aiming at the problem of adopting the same level of privacy protection for sensitive data in the process of data collection and ignoring the difference in privacy protection requirements …
Q Deng, K Liu, Y Zhang - IEEE Transactions on Emerging …, 2024 - ieeexplore.ieee.org
Consensus is one of the most important topics in distributed multi-agent systems (MAS). In general, existing consensus approaches aim at driving agents to reach an agreement via …