Concepedia

Edge Federated Learning

Edge Federated Learning is a distributed machine learning paradigm that enables collaborative model training across decentralized edge devices while preserving data locality and minimizing reliance on centralized cloud infrastructure.

224

Publications

16.3K

Citations

867

Authors

385

Institutions

Publications per year

2017–2026

224

Variants

Efl

Parents

Publications

224

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

Xiaofei Wang, Yiwen Han, Chenyang Wang et al. · IEEE Network · 2019 · 1K citations · Full text

, , +17

Federated learning over wireless fading channels

Mohammad Mohammadi Amiri, Denız Gündüz · Iris Unimore (University of Modena and Reggio Emilia) · 2020 · 635 citations · Full text

, , +17

A Learning-Based Incentive Mechanism for Federated Learning

Yufeng Zhan, Peng Li, Zhihao Qu et al. · IEEE Internet of Things Journal · 2020 · 589 citations

, , +17

Model Pruning Enables Efficient Federated Learning on Edge Devices

Yuang Jiang, Shiqiang Wang, Víctor Valls et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 522 citations

, , +14

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

IEEE Internet of Things Journal · 2020 · 517 citations · Full text

, , +17

1–5 of 224

Authors

867

  1. DG
    Denız Gündüz

    Imperial College London, United Kingdom

    11 publications · 1.4K citations

    11

    h-index

  2. GZ
    Guangxu Zhu

    Shenzhen Research Institute of Big Data, China

    8 publications · 411 citations

    8

    h-index

  3. HV
    H. Vincent Poor

    Princeton University, United States

    7 publications · 513 citations

    7

    h-index

  4. MM
    Mohammad Mohammadi Amiri

    Imperial College London, United Kingdom

    6 publications · 837 citations

    6

    h-index

  5. SR
    Sanjeev R. Kulkarni

    Princeton University, United States

    6 publications · 422 citations

    6

    h-index

1–5 of 867

Institutions

385

  1. Imperial College London

    London, United Kingdom

    12 h-index

    19 publications

    3.1K citations

  2. Shenzhen Research Institute of Big Data

    Shenzhen, China

    9 h-index

    18 publications

    920 citations

  3. Princeton University

    Princeton, United States

    9 h-index

    20 publications

    1.8K citations

  4. University of Hong Kong

    Pok Fu Lam, Hong Kong

    9 h-index

    16 publications

    1.1K citations

  5. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    8 h-index

    12 publications

    1K citations

  6. Chinese University of Hong Kong, Shenzhen

    Shenzhen, China

    8 h-index

    16 publications

    943 citations

  7. Deakin University

    Burwood, Australia

    7 h-index

    19 publications

    1.3K citations

  8. Guangdong University of Technology

    Guangzhou, China

    7 h-index

    12 publications

    714 citations

1–8 of 385

Venues

  1. IEEE Internet of Things Journal

    16 publications · 2.2K citations

    16

    h-index

  2. IEEE Transactions on Wireless Communications

    12 publications · 649 citations

    12

    h-index

  3. Future Generation Computer Systems

    FGCS · 12 publications · 369 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 9 publications · 331 citations

    9

    h-index

  5. IEEE Access

    6 publications · 476 citations

    6

    h-index

1–5