Concepedia

Cross-silo Federated Learning

Cross-Silo Federated Learning is a federated learning paradigm in which multiple organizations or institutions collaboratively train a shared model while maintaining data isolation, with each participant functioning as a distinct data silo and contributing data or models under coordinated aggregation, distinguished from other federated learning approaches by its focus on inter-organizational collaboration involving relatively few, data-rich participants.

44

Publications

2.5K

Citations

201

Authors

69

Institutions

Publications per year

2017–2026

44

Parents

Publications

44

Personalized Cross-Silo Federated Learning on Non-IID Data

Yutao Huang, Lingyang Chu, Zirui Zhou et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 659 citations · Full text

, , +13

BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning

Chengliang Zhang, Suyi Li, Junzhe Xia et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 2020 · 275 citations

, , +12

An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective

Ming Tang, Vincent W. S. Wong · 2021 · 118 citations

, , +15

The role of cross-silo federated learning in facilitating data sharing in the agri-food sector

Aiden Durrant, Milan Marković, David R. Matthews et al. · Computers and Electronics in Agriculture · 2021 · 110 citations · Full text

, , +13

Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning

Jun Luo, Shandong Wu · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022 · 100 citations · Full text

, , +16

1–5 of 44

Authors

201

  1. CH
    Chao Huang

    University of Hong Kong, Hong Kong SAR China

    2 publications · 71 citations

    2

    h-index

  2. LW
    Lanjun Wang

    Shandong Agricultural University, China

    2 publications · 696 citations

    2

    h-index

  3. LC
    Lingyang Chu

    Simon Fraser University, Canada

    2 publications · 696 citations

    2

    h-index

  4. VS
    Virginia Smith

    Carnegie Mellon University, United States

    2 publications · 33 citations

    2

    h-index

  5. JL
    Jiangchuan Liu

    Simon Fraser University, Canada

    2 publications · 696 citations

    2

    h-index

1–5 of 201

Institutions

69

  1. Sun Yat-sen University

    Guangzhou, China

    2 h-index

    4 publications

    194 citations

  2. Beijing Institute of Technology

    Beijing, China

    2 h-index

    3 publications

    64 citations

  3. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    2 h-index

    5 publications

    1.2K citations

  4. Simon Fraser University

    Burnaby, Canada

    2 h-index

    6 publications

    2.1K citations

  5. Shandong University

    Jinan, China

    2 h-index

    5 publications

    146 citations

  6. University of Toronto

    Toronto, Canada

    2 h-index

    5 publications

    118 citations

  7. Huawei Technologies (Canada)

    Markham, Canada

    2 h-index

    6 publications

    2.1K citations

  8. McMaster University

    Hamilton, Canada

    2 h-index

    2 publications

    696 citations

1–8 of 69

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 249 citations

    9

    h-index

  2. IEEE Internet of Things Journal

    4 publications · 120 citations

    4

    h-index

  3. The Journal of Supercomputing

    2 publications · 59 citations

    2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 681 citations

    2

    h-index

  5. IEEE Network

    1 publications · 59 citations

    1

    h-index

1–5