Concepedia

Differentially Private Federated Learning

Differentially Private Federated Learning is a machine learning framework that integrates federated learning with differential privacy mechanisms to ensure that model updates aggregated from distributed clients preserve individual data privacy by bounding the influence of any single data point on the global model through rigorously defined noise injection or perturbation techniques.

275

Publications

23.9K

Citations

1.1K

Authors

415

Institutions

Publications per year

2017–2026

275

Variants

Dpfl

Parents

Publications

275

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

Kang Wei, Jun Li, Ming Ding et al. · IEEE Transactions on Information Forensics and Security · 2020 · 2.2K citations · Full text

, , +17

Secure, privacy-preserving and federated machine learning in medical imaging

Georgios Kaissis, Marcus R. Makowski, Daniel Rückert et al. · Nature Machine Intelligence · 2020 · 1.3K citations · Full text

, , +14

A survey on security and privacy of federated learning

Viraaji Mothukuri, Reza M. Parizi, Seyedamin Pouriyeh et al. · Future Generation Computer Systems · 2020 · 1.3K citations

, , +12

Federated learning on non-IID data: A survey

Hangyu Zhu, Jinjin Xu, Shiqing Liu et al. · Neurocomputing · 2021 · 964 citations

, , +11

A Hybrid Approach to Privacy-Preserving Federated Learning

Stacey Truex, Nathalie Baracaldo, Ali Anwar et al. · 2019 · 920 citations

, , +12

1–5 of 275

Authors

1.1K

  1. KW
    Kang Wei

    Nanjing University of Science and Technology, China

    6 publications · 2.6K citations

    6

    h-index

  2. JL
    Jun Li

    Nanjing University of Science and Technology, China

    5 publications · 2.5K citations

    5

    h-index

  3. PK
    Peter Kairouz

    Google (United States), United States

    5 publications · 530 citations

    5

    h-index

  4. HV
    H. Vincent Poor

    Princeton University, United States

    5 publications · 2.5K citations

    5

    h-index

  5. YG
    Yuanxiong Guo

    The University of Texas at San Antonio, United States

    5 publications · 319 citations

    5

    h-index

1–5 of 1.1K

Institutions

415

  1. Google (United States)

    Mountain View, United States

    9 h-index

    24 publications

    2.2K citations

  2. University of Technology Sydney

    Sydney, Australia

    9 h-index

    22 publications

    2.3K citations

  3. The University of Texas at San Antonio

    San Antonio, United States

    8 h-index

    13 publications

    775 citations

  4. Tsinghua University

    Beijing, China

    7 h-index

    16 publications

    695 citations

  5. University of Guelph

    Guelph, Canada

    7 h-index

    12 publications

    2.5K citations

  6. University of Electronic Science and Technology of China

    Chengdu, China

    7 h-index

    18 publications

    1.5K citations

  7. Xidian University

    Xi'an, China

    6 h-index

    16 publications

    1.3K citations

  8. Georgia Institute of Technology

    Atlanta, United States

    6 h-index

    12 publications

    3.6K citations

1–8 of 415

Venues

  1. arXiv (Cornell University)

    Repository · 50 publications · 2.6K citations

    24

    h-index

  2. IEEE Internet of Things Journal

    12 publications · 843 citations

    11

    h-index

  3. IEEE Transactions on Industrial Informatics

    9 publications · 1.4K citations

    9

    h-index

  4. Computers & Security

    8 publications · 466 citations

    8

    h-index

  5. Future Generation Computer Systems

    FGCS · 8 publications · 1.7K citations

    8

    h-index

1–5