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Multiple Privacy Regimes Mechanism for Local Differential Privacy
2019Local differential privacy (LDP), as a state-of-the-art privacy notion, enables users to share protected data safely while the private real data never leaves user’s device. The privacy regime is one of the critical parameters balancing between the correctness of the statistical result and the level of user’s privacy.
Yutong Ye 0002 +4 more
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An efficient data aggregation scheme with local differential privacy in smart grid
Digital Communications and Networks, 2022Jianqing Liu, Debiao He
exaly
PPeFL: Privacy-Preserving Edge Federated Learning With Local Differential Privacy
IEEE Internet of Things Journal, 2023Baocang Wang, Yange Chen, Zhen Zhao
exaly
A novel local differential privacy federated learning under multi-privacy regimes
Expert Systems With Applications, 2023Shuping Dang, Jinchuan Tang
exaly
Community-based social recommendation under local differential privacy protection
Information Sciences, 2023Mingliang Zhou +2 more
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Local differential privacy for social network publishing
Neurocomputing, 2020Wang Li-E, Yuanxin Xu
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Key-value data collection and statistical analysis with local differential privacy
Information Sciences, 2023Xiaohu Tang, Laurence T Yang
exaly
The Trade-off Between Privacy and Utility in Local Differential Privacy
2021 International Conference on Networking and Network Applications (NaNA), 2021Mengqian Li +4 more
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Local Differential Privacy-Based Federated Learning under Personalized Settings
Applied Sciences (Switzerland), 2023Liehuang Zhu, Zhu Liehuang
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