Empirical risk minimization in the non-interactive local model of differential privacy

被引：0
|
作者：
Wang, Di [1 ]
Gaboardi, Marco [2 ]
Smith, Adam [2 ]
Xu, Jinhui [1 ]
机构：
[1] Department of Computer Science and Engineering, University at Buffalo, SUNY, Buffalo,NY,14260, United States
[2] Department of Computer Science, Boston University, Boston,MA,02215, United States
来源：
Journal of Machine Learning Research | 2020年 / 21卷
关键词：
50;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Non-Interactive Privacy Preserving Protocol for Biometric Recognition Based on Somewhat Homomorphic Encryption
    Droandi, Giulia
    PROCEEDINGS OF THE 14TH EUROPEAN CONFERENCE ON CYBER WARFARE AND SECURITY (ECCWS-2015), 2015, : 355 - 362
  • [42] PANDA: Lightweight non-interactive privacy-preserving data aggregation for constrained devices
    Wang, Mei
    He, Kun
    Chen, Jing
    Du, Ruiying
    Zhang, Bingsheng
    Li, Zengpeng
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, 131 : 28 - 42
  • [43] A Model for Mobile Content Filtering on Non-Interactive Recommendation Systems
    Paireekreng, Worapat
    Wong, Kok Wai
    Fung, Chun Che
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 2822 - 2827
  • [44] SPECIES-DIVERSITY AND PERTURBATIONS - PREDICTIONS OF A NON-INTERACTIVE MODEL
    PETERSON, CH
    OIKOS, 1977, 29 (02) : 239 - 244
  • [45] Non-Interactive Privacy-Preserving Frequent Itemset Mining Over Encrypted Cloud Data
    Zheng, Peijia
    Cheng, Ziyan
    Tian, Xianhao
    Liu, Hongmei
    Luo, Weiqi
    Huang, Jiwu
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2023, 11 (04) : 3452 - 3468
  • [46] A novel algorithm to solve the differential equation describing the non-interactive multiple-trap system model in thermoluminescence
    Caselli, E.
    Ortega, F.
    Santiago, M.
    Marcazzo, J.
    Lester, M.
    Molina, P.
    RADIATION EFFECTS AND DEFECTS IN SOLIDS, 2018, 173 (5-6): : 339 - 352
  • [47] Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration
    Lou, Jian
    Cheung, Yiu-ming
    2020 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY (WI-IAT 2020), 2020, : 1 - 8
  • [48] A privacy-preserving and non-interactive federated learning scheme for regression training with gradient descent
    Wang, Fengwei
    Zhu, Hui
    Lu, Rongxing
    Zheng, Yandong
    Li, Hui
    INFORMATION SCIENCES, 2021, 552 : 183 - 200
  • [49] NPMML: A Framework for Non-Interactive Privacy-Preserving Multi-Party Machine Learning
    Li, Tong
    Li, Jin
    Chen, Xiaofeng
    Liu, Zheli
    Lou, Wenjing
    Hou, Y. Thomas
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2021, 18 (06) : 2969 - 2982
  • [50] Tightly Secure Non-Interactive Multisignatures in the Plain Public Key Model
    Qian, Haifeng
    Li, Xiangxue
    Huang, Xinli
    INFORMATICA, 2012, 23 (03) : 443 - 460
12345