Concepedia

Cross-device Federated Learning

Cross-Device Federated Learning is a federated learning paradigm in which a global model is trained across a large number of heterogeneous client devices, such as smartphones or IoT devices, by aggregating locally computed updates while preserving data locality and minimizing direct data transmission.

35

Publications

2.5K

Citations

190

Authors

49

Institutions

Publications per year

2017–2026

35

Parents

Publications

35

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Eunjeong Jeong, Seungeun Oh, Hyesung Kim et al. · arXiv (Cornell University) · 2018 · 443 citations · Full text

, , +17

Fair Resource Allocation in Federated Learning

Li Tian, Maziar Sanjabi, Ahmad Beirami et al. · arXiv (Cornell University) · 2019 · 356 citations · Full text

, , +14

Think Locally, Act Globally: Federated Learning with Local and Global\n Representations

Paul Pu Liang, Terrance Liu, Liu Ziyin et al. · arXiv (Cornell University) · 2020 · 238 citations · Full text

, , +15

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Paul Pu Liang, Terrance Liu, Liu Ziyin · arXiv (Cornell University) · 2020 · 139 citations · Full text

, , +15

Fair Resource Allocation in Federated Learning

Tian Li, Maziar Sanjabi, Ahmad Beirami et al. · International Conference on Learning Representations · 2020 · 134 citations

, , +14

1–5 of 35

Authors

190

  1. MJ
    Martin Jaggi

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 165 citations

    3

    h-index

  2. SP
    Sai Praneeth Karimireddy

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 165 citations

    3

    h-index

  3. PP
    Paul Pu Liang

    Carnegie Mellon University, United States

    2 publications · 377 citations

    2

    h-index

  4. GN
    Giovanni Neglia

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 54 citations

    2

    h-index

  5. LZ
    Liu Ziyin

    The University of Tokyo, Japan

    2 publications · 377 citations

    2

    h-index

1–5 of 190

Institutions

49

  1. Southeast University

    Nanjing, China

    3 h-index

    4 publications

    136 citations

  2. Google (United States)

    Mountain View, United States

    3 h-index

    8 publications

    492 citations

  3. University of Electronic Science and Technology of China

    Chengdu, China

    2 h-index

    6 publications

    202 citations

  4. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    2 h-index

    5 publications

    284 citations

  5. Macquarie University

    Sydney, Australia

    1 h-index

    2 publications

    36 citations

  6. University of Southern California

    Los Angeles, United States

    1 h-index

    3 publications

    126 citations

  7. Khalifa University of Science and Technology

    Abu Dhabi, United Arab Emirates

    1 h-index

    5 publications

    650 citations

  8. George Washington University

    Washington, United States

    1 h-index

    1 publications

    23 citations

1–8 of 49

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 1.6K citations

    14

    h-index

  2. 2

    h-index

  3. IEEE Internet of Things Journal

    1 publications · 18 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 105 citations

    1

    h-index

  5. IEEE Transactions on Services Computing

    1 publications · 28 citations

    1

    h-index

1–5