Two-party Communication Complexity

Two-Party Communication Complexity is a theoretical framework in computational complexity theory that quantifies the minimum amount of communication required between two parties, each holding a portion of the input, to compute a joint function of their inputs.

47

Publications

2.7K

Citations

68

Authors

45

Institutions

Publications per year

2017–2026

2

Authors

68

  1. MB
    Mark Braverman

    Princeton University, United States

    6 publications · 367 citations

    6

    h-index

  2. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    5 publications · 664 citations

    5

    h-index

  3. OW
    Omri Weinstein

    Princeton University, United States

    4 publications · 197 citations

    4

    h-index

  4. RJ
    Rahul Jain

    National University of Singapore, Singapore

    4 publications · 147 citations

    4

    h-index

  5. HB
    Harry Buhrman

    Centrum Wiskunde & Informatica, Netherlands

    4 publications · 568 citations

    4

    h-index

1–5 of 68

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 75 citations

    5

    h-index

  2. IEEE Transactions on Information Theory

    2 publications · 71 citations

    2

    h-index

  3. Physical Review Letters

    PRL · 2 publications · 208 citations

    2

    h-index

  4. Symposium on Discrete Algorithms

    Conference · 2 publications · 65 citations

    2

    h-index

  5. ArXiv.org

    Repository · 2 publications · 96 citations

    2

    h-index

1–5