Incentive Mechanisms

Incentive Mechanism is a strategic framework in peer-to-peer federated learning systems that belongs to the class of economic and game-theoretic protocols, distinguished by its purpose of motivating rational participants to contribute high-quality data or models through the allocation of rewards or penalties based on verifiable contributions.

2.4K

Publications

174.7K

Citations

6K

Authors

1.8K

Institutions

Publications per year

2017–2026

871

Authors

6K

  1. DY
    Dejun Yang

    Colorado School of Mines, United States

    24 publications · 2.6K citations

    21

    h-index

  2. DN
    Dusit Niyato

    Nanyang Technological University, Singapore

    28 publications · 3.1K citations

    21

    h-index

  3. ZH
    Zhu Han

    University of Houston, United States

    27 publications · 1.6K citations

    19

    h-index

  4. ZX
    Zehui Xiong

    Nanyang Technological University, Singapore

    18 publications · 2.2K citations

    16

    h-index

  5. AÅ
    Anders Ågmo

    UiT The Arctic University of Norway, Norway

    16 publications · 812 citations

    15

    h-index

1–5 of 6K

Venues

  1. IEEE Transactions on Mobile Computing

    TMCCI · 44 publications · 3.2K citations

    36

    h-index

  2. IEEE Internet of Things Journal

    60 publications · 4.6K citations

    34

    h-index

  3. SSRN Electronic Journal

    Repository · 96 publications · 3.1K citations

    29

    h-index

  4. IEEE Journal on Selected Areas in Communications

    28 publications · 1.8K citations

    21

    h-index

  5. IEEE Access

    34 publications · 1.7K citations

    21

    h-index

1–5