Parameter Synchronization

Parameter Synchronization is a data parallelism technique that coordinates the concurrent updates of model parameters across distributed computing nodes by aggregating gradients or parameter values to maintain consistency and ensure coherent model convergence during distributed training.

55

Publications

3K

Citations

211

Authors

83

Institutions

Publications per year

2017–2026

40

Authors

211

  1. QH
    Qirong Ho

    Carnegie Mellon University, United States

    7 publications · 950 citations

    7

    h-index

  2. EP
    Eric P. Xing

    Carnegie Mellon University, United States

    6 publications · 923 citations

    6

    h-index

  3. JW
    Jinliang Wei

    Carnegie Mellon University, United States

    4 publications · 315 citations

    4

    h-index

  4. PX
    Pengtao Xie

    University of California San Diego, United States

    4 publications · 276 citations

    4

    h-index

  5. SG
    Song Guo

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 164 citations

    4

    h-index

1–5 of 211

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 392 citations

    7

    h-index

  2. Figshare

    Repository · 2 publications · 120 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 103 citations

    2

    h-index

  5. Mobile Information Systems

    1 publications · 13 citations

    1

    h-index

1–5