Concepedia

Federated Learning

Federated Learning is a subfield of machine learning that enables multiple decentralized devices or data sources to collaboratively train a shared global model while keeping raw data localized, thereby distinguishing it from traditional centralized learning approaches through its emphasis on privacy-preserving, distributed model updates.

6.2K

Publications

424.2K

Citations

15K

Authors

2.7K

Institutions

Publications per year

2017–2026

6.2K

Variants

Fl

Parents

Children

Publications

6.2K

Federated Machine Learning

Qiang Yang, Yang Liu, Tianjian Chen et al. · ACM Transactions on Intelligent Systems and Technology · 2019 · 5.9K citations

, , +12

Communication-Efficient Learning of Deep Networks from Decentralized Data

H. Brendan McMahan, Eider Moore, Daniel Ramage et al. · arXiv (Cornell University) · 2016 · 5.2K citations · Full text

, , +14

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. · Foundations and Trends® in Machine Learning · 2020 · 4.7K citations · Full text

, , +14

Federated Learning: Challenges, Methods, and Future Directions

IEEE Signal Processing Magazine · 2020 · 4.6K citations · Full text

, , +13

Practical Secure Aggregation for Privacy-Preserving Machine Learning

Keith Bonawitz, Vladimir Ivanov, Ben Kreuter et al. · 2017 · 3.4K citations

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1–5 of 6.2K

Authors

15K

  1. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    76 publications · 11.2K citations

    44

    h-index

  2. QY
    Qiang Yang

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

    64 publications · 15.4K citations

    43

    h-index

  3. HV
    H. Vincent Poor

    Princeton University, United States

    62 publications · 9.6K citations

    36

    h-index

  4. MG
    Mohsen Guizani

    Qatar University, Qatar

    48 publications · 4.3K citations

    34

    h-index

  5. ZH
    Zhu Han

    University of Houston, United States

    42 publications · 3.3K citations

    30

    h-index

1–5 of 15K

Institutions

2.7K

  1. Nanyang Technological University

    Singapore, Singapore

    65 h-index

    380 publications

    54.2K citations

  2. Tsinghua University

    Beijing, China

    59 h-index

    336 publications

    28.4K citations

  3. Xidian University

    Xi'an, China

    58 h-index

    347 publications

    34K citations

  4. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    55 h-index

    222 publications

    29.7K citations

  5. University of Electronic Science and Technology of China

    Chengdu, China

    51 h-index

    299 publications

    30.9K citations

  6. Beijing University of Posts and Telecommunications

    Beijing, China

    50 h-index

    369 publications

    26.5K citations

  7. Peng Cheng Laboratory

    Shenzhen, China

    49 h-index

    150 publications

    12.5K citations

  8. Zhejiang University

    Hangzhou, China

    46 h-index

    250 publications

    13.8K citations

1–8 of 2.7K

Venues

  1. arXiv (Cornell University)

    Repository · 785 publications · 59K citations

    102

    h-index

  2. IEEE Internet of Things Journal

    294 publications · 26.8K citations

    82

    h-index

  3. IEEE Transactions on Industrial Informatics

    113 publications · 13K citations

    61

    h-index

  4. IEEE Access

    134 publications · 10K citations

    53

    h-index

  5. IEEE Journal on Selected Areas in Communications

    68 publications · 8.6K citations

    46

    h-index

1–5