Concepedia

Federated Multi-task Learning

Federated Multi-Task Learning is a distributed machine learning framework in which multiple clients collaboratively train personalized models for distinct but related tasks under the coordination of a central server, while keeping data localized to preserve privacy and leverage task-specific objectives through shared representations.

68

Publications

4.8K

Citations

312

Authors

133

Institutions

Publications per year

2017–2026

68

Parents

Publications

68

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad et al. · Cluster Computing · 2022 · 359 citations · Full text

, , +16

Split learning for health: Distributed deep learning without sharing raw\n patient data

Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish et al. · arXiv (Cornell University) · 2018 · 347 citations · Full text

, , +17

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

Jed Mills, Jia Hu, Geyong Min · IEEE Transactions on Parallel and Distributed Systems · 2021 · 296 citations · Full text

, , +16

LEAF: A Benchmark for Federated Settings

Sebastian Caldas, Peter Wu, Li Tian et al. · arXiv (Cornell University) · 2018 · 285 citations · Full text

, , +14

Data Poisoning Attacks on Federated Machine Learning

Gan Sun, Yang Cong, Jiahua Dong et al. · IEEE Internet of Things Journal · 2021 · 280 citations

, , +10

1–5 of 68

Authors

312

  1. VS
    Virginia Smith

    Carnegie Mellon University, United States

    5 publications · 502 citations

    5

    h-index

  2. GM
    Geyong Min

    University of Exeter, United Kingdom

    2 publications · 313 citations

    2

    h-index

  3. PS
    Peter Schmidtke

    Universitat de Barcelona, Spain

    2 publications · 140 citations

    2

    h-index

  4. TS
    Tristan Swedish

    Massachusetts Institute of Technology, United States

    2 publications · 526 citations

    2

    h-index

  5. DM
    David Marcus

    Hebrew University of Jerusalem, Israel

    2 publications · 140 citations

    2

    h-index

1–5 of 312

Institutions

133

  1. City University of Hong Kong

    Hong Kong, Hong Kong

    3 h-index

    8 publications

    534 citations

  2. Peng Cheng Laboratory

    Shenzhen, China

    3 h-index

    4 publications

    118 citations

  3. Chinese University of Hong Kong, Shenzhen

    Shenzhen, China

    3 h-index

    3 publications

    375 citations

  4. Beijing University of Posts and Telecommunications

    Beijing, China

    3 h-index

    7 publications

    222 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    7 publications

    706 citations

  6. University of Exeter

    Exeter, United Kingdom

    3 h-index

    7 publications

    963 citations

  7. Michigan State University

    East Lansing, United States

    2 h-index

    2 publications

    284 citations

  8. University of Maryland, College Park

    College Park, United States

    2 h-index

    6 publications

    87 citations

1–8 of 133

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 1.4K citations

    14

    h-index

  2. IEEE Internet of Things Journal

    6 publications · 499 citations

    6

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 92 citations

    2

    h-index

  4. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 59 citations

    2

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 346 citations

    2

    h-index

1–5