Distributed Network Flows

Distributed Network Flows is a computational framework within network flow theory that enables the decentralized optimization of flow allocation across a network by coordinating localized decision-making at individual nodes or edges through iterative message-passing algorithms.

8

Publications

823

Citations

23

Authors

10

Institutions

Publications per year

2017–2026

3

Authors

23

  1. AK
    Amit Kumar

    Indian Institute of Technology Delhi, India

    2 publications · 597 citations

    2

    h-index

  2. JK
    Jon Kleinberg

    Cornell University, United States

    2 publications · 597 citations

    2

    h-index

  3. DK
    David Kempe

    University of Southern California, United States

    2 publications · 597 citations

    2

    h-index

  4. SA
    S. Athuraliya

    The University of Melbourne, Australia

    1 publications · 79 citations

    1

    h-index

  5. SY
    Shengchun Yang

    Xi'an Jiaotong University, China

    1 publications · 32 citations

    1

    h-index

1–5 of 23

Venues

  1. 2

    h-index

  2. Journal of Computer and System Sciences

    1 publications · 277 citations

    1

    h-index

  3. Smart and Sustainable Built Environment

    1 publications · 34 citations

    1

    h-index

1–3