Concepedia

User-level Privacy

User-Level Privacy is a privacy preservation paradigm in federated learning that belongs to the class of data protection mechanisms, specifically distinguished by ensuring that the participation of an entire user’s data—comprising all their contributed samples or interactions—cannot be distinguished or reconstructed by an adversary, even when multiple data points from the same individual are involved in the learning process.

565

Publications

33.1K

Citations

1.9K

Authors

642

Institutions

Publications per year

2017–2026

350

Parents

Publications

565

Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Zhibo Wang, Mengkai Song, Zhifei Zhang et al. · 2019 · 808 citations

, , +13

VerifyNet: Secure and Verifiable Federated Learning

Guowen Xu, Hongwei Li, Sen Liu et al. · IEEE Transactions on Information Forensics and Security · 2019 · 792 citations

, , +14

User Data Privacy: Facebook, Cambridge Analytica, and Privacy Protection

Jim Isaak, Mina J. Hanna · Computer · 2018 · 687 citations

, , +15

Learning Differentially Private Recurrent Language Models

H. Brendan McMahan, Daniel Ramage, Kunal Talwar et al. · arXiv (Cornell University) · 2017 · 671 citations · Full text

, , +15

A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus

Yuzheng Li, Chuan Chen, Nan Liu et al. · IEEE Network · 2020 · 627 citations · Full text

, , +16

1–5 of 565

Authors

1.9K

  1. HB
    H. Brendan McMahan

    Google (United States), United States

    6 publications · 1K citations

    6

    h-index

  2. ZW
    Zhibo Wang

    Wuhan University, China

    6 publications · 1.3K citations

    6

    h-index

  3. QW
    Qian Wang

    Wuhan University, China

    5 publications · 1.2K citations

    5

    h-index

  4. JS
    Jinhyun So

    University of Southern California, United States

    5 publications · 417 citations

    5

    h-index

  5. QY
    Qiang Yang

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 387 citations

    4

    h-index

1–5 of 1.9K

Institutions

642

  1. University of Southern California

    Los Angeles, United States

    13 h-index

    34 publications

    3.5K citations

  2. Wuhan University

    Wuhan, China

    10 h-index

    28 publications

    4.3K citations

  3. Tsinghua University

    Beijing, China

    10 h-index

    21 publications

    1.6K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    10 h-index

    37 publications

    1.9K citations

  5. Zhejiang University

    Hangzhou, China

    9 h-index

    22 publications

    1K citations

  6. Google (United States)

    Mountain View, United States

    8 h-index

    46 publications

    4.2K citations

  7. Nanyang Technological University

    Singapore, Singapore

    8 h-index

    10 publications

    568 citations

  8. University of Washington

    Seattle, United States

    8 h-index

    17 publications

    989 citations

1–8 of 642

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 1.7K citations

    17

    h-index

  2. IEEE Access

    16 publications · 1.5K citations

    15

    h-index

  3. IEEE Internet of Things Journal

    10 publications · 907 citations

    10

    h-index

  4. 6

    h-index

  5. SSRN Electronic Journal

    Repository · 6 publications · 106 citations

    6

    h-index

1–5