On-device Analytics

On-Device Analytics is an academic concept referring to a computational paradigm within edge analytics wherein data processing and analytical inference occur locally on the originating device, distinguished from centralized or cloud-based approaches by its emphasis on minimizing data transmission through in-situ analysis and real-time decision-making at the network edge.

22

Publications

5.6K

Citations

143

Authors

35

Institutions

Publications per year

2017–2026

18

Authors

143

  1. IL
    Ignacio López Moreno

    Google (United States), United States

    2 publications · 62 citations

    2

    h-index

  2. RR
    Reza Rawassizadeh

    Institute for Health Metrics and Evaluation, United States

    2 publications · 96 citations

    2

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  3. JF
    Julien Freudiger

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 33 citations

    1

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  4. SB
    Stan Bileschi

    1 publications · 132 citations

    1

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  5. NT
    Nikhil Thorat

    Google (United States), United States

    1 publications · 132 citations

    1

    h-index

1–5 of 143

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 4.8K citations

    4

    h-index

  2. Sensors

    2 publications · 72 citations

    2

    h-index

  3. 1

    h-index

  4. Intelligent Systems with Applications

    ISWA · 1 publications · 57 citations

    1

    h-index

  5. 1

    h-index

1–5