Concepedia

Parallel Machine Learning

Parallel Machine Learning is a computational paradigm within machine learning that belongs to the broader class of parallel computing methodologies, distinguished by its systematic decomposition of learning tasks into concurrent subtasks that are processed across multiple computing units to improve efficiency and scalability in handling large-scale data.

900

Publications

93.4K

Citations

2.9K

Authors

796

Institutions

Publications per year

2017–2026

402

Parents

Publications

900

TensorFlow: A system for large-scale machine learning

Martı́n Abadi, Paul Barham, Jianmin Chen et al. · arXiv (Cornell University) · 2016 · 8.8K citations · Full text

, , +15

An introduction to computing with neural nets

Richard P. Lippmann · IEEE ASSP Magazine · 1987 · 7.9K citations

, , +16

TensorFlow: a system for large-scale machine learning

Martı́n Abadi, Paul Barham, Jianmin Chen et al. · Operating Systems Design and Implementation · 2016 · 6.4K citations

, , +15

An overview of gradient descent optimization algorithms

Sebastian Ruder · arXiv (Cornell University) · 2016 · 4.8K citations · Full text

, , +15

A Learning Algorithm for Boltzmann Machines*

David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski · Cognitive Science · 1985 · 3.3K citations

, , +16

1–5 of 900

Authors

2.9K

  1. EP
    Eric P. Xing

    Carnegie Mellon University, United States

    10 publications · 1.3K citations

    11

    h-index

  2. QH
    Qirong Ho

    Carnegie Mellon University, United States

    8 publications · 958 citations

    8

    h-index

  3. GA
    Garth A. Gibson

    Carnegie Mellon University, United States

    7 publications · 575 citations

    7

    h-index

  4. HL
    HyoukJoong Lee

    Stanford University, United States

    7 publications · 445 citations

    7

    h-index

  5. JE
    Joseph E. Gonzalez

    University of California, Berkeley, United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 2.9K

Institutions

796

  1. Carnegie Mellon University

    Pittsburgh, United States

    18 h-index

    99 publications

    24.5K citations

  2. Tsinghua University

    Beijing, China

    16 h-index

    53 publications

    2.6K citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    15 h-index

    53 publications

    17.1K citations

  4. University of California, Berkeley

    Berkeley, United States

    15 h-index

    45 publications

    2.8K citations

  5. Microsoft (United States)

    Redmond, United States

    12 h-index

    21 publications

    1.6K citations

  6. National University of Defense Technology

    Changsha, China

    12 h-index

    55 publications

    2.3K citations

  7. Stanford University

    Stanford, United States

    11 h-index

    38 publications

    6.7K citations

  8. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    11 h-index

    22 publications

    894 citations

1–8 of 796

Venues

  1. arXiv (Cornell University)

    Repository · 86 publications · 21.1K citations

    37

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 19 publications · 1.2K citations

    16

    h-index

  3. Neurocomputing

    14 publications · 1K citations

    14

    h-index

  4. IEEE Access

    10 publications · 329 citations

    10

    h-index

  5. IEEE Transactions on Neural Networks

    9 publications · 677 citations

    9

    h-index

1–5