Federated Learning Deployment

Federated Learning Deployment is a methodological framework within edge-cloud integration that orchestrates the distribution, execution, and coordination of federated learning workflows across decentralized edge devices and centralized cloud resources to enable privacy-preserving, collaborative model training.

102

Publications

8.1K

Citations

513

Authors

244

Institutions

Publications per year

2017–2026

102

Authors

513

  1. TR
    Thippa Reddy Gadekallu

    Vellore Institute of Technology University, India

    5 publications · 1.3K citations

    5

    h-index

  2. QY
    Qiang Yang

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

    5 publications · 550 citations

    5

    h-index

  3. QP
    Quoc‐Viet Pham

    Pusan National University, South Korea

    4 publications · 647 citations

    4

    h-index

  4. HV
    H. Vincent Poor

    Princeton University, United States

    4 publications · 576 citations

    4

    h-index

  5. PK
    Praveen Kumar Reddy Maddikunta

    Vellore Institute of Technology University, India

    4 publications · 1.2K citations

    4

    h-index

1–5 of 513

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 917 citations

    11

    h-index

  2. IEEE Access

    7 publications · 338 citations

    7

    h-index

  3. IEEE Network

    5 publications · 381 citations

    5

    h-index

  4. IEEE Internet of Things Journal

    4 publications · 876 citations

    4

    h-index

  5. Future Generation Computer Systems

    FGCS · 5 publications · 189 citations

    4

    h-index

1–5