Reduce Communication

Reduce Communication is a methodological contribution in distributed computing that minimizes the volume or frequency of data exchange between processing nodes while preserving the correctness and convergence of collective operations.

67

Publications

4.4K

Citations

166

Authors

81

Institutions

Publications per year

2017–2026

32

Authors

166

  1. SL
    Songze Li

    University of Southern California, United States

    11 publications · 1.1K citations

    11

    h-index

  2. AS
    A. Salman Avestimehr

    University of Southern California, United States

    10 publications · 1.1K citations

    10

    h-index

  3. MA
    Mohammad Ali Maddah-Ali

    University of Southern California, United States

    10 publications · 1.1K citations

    10

    h-index

  4. RP
    Ramtin Pedarsani

    University of California, Santa Barbara, United States

    3 publications · 1K citations

    3

    h-index

  5. RC
    Rong‐Rong Chen

    University of Utah, United States

    3 publications · 83 citations

    3

    h-index

1–5 of 166

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 654 citations

    10

    h-index

  2. IEEE Transactions on Information Theory

    3 publications · 1.4K citations

    3

    h-index

  3. IEEE Transactions on Communications

    3 publications · 42 citations

    3

    h-index

  4. Journal of Parallel and Distributed Computing

    2 publications · 220 citations

    2

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 95 citations

    2

    h-index

1–5