On-device Inference
On-Device Inference is an academic concept referring to the execution of machine learning inference directly on edge devices, distinguished from cloud-based or centralized inference by its reliance on local computational resources to enable low-latency, privacy-preserving, and energy-efficient AI deployment.
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7K
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548
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2017–2026
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John A. Gunnels, Fred G. Gustavson, Greg Henry et al. · ACM Transactions on Mathematical Software · 2001 · 235 citations
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Google (United States)
Mountain View, United States
12 h-index
53 publications
4.9K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
10 publications
869 citations

Beijing University of Posts and Telecommunications
Beijing, China
5 h-index
24 publications
637 citations

Alibaba Group (China)
Hangzhou, China
4 h-index
10 publications
341 citations

Delft University of Technology
Delft, The Netherlands
4 h-index
8 publications
189 citations
RMIT University
Melbourne, Australia
4 h-index
9 publications
152 citations
Nokia (United Kingdom)
London, United Kingdom
3 h-index
6 publications
156 citations

Worcester Polytechnic Institute
Worcester, United States
3 h-index
5 publications
144 citations
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Repository · 23 publications · 650 citations
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IMWUT · 4 publications · 116 citations
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3 publications · 48 citations
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TMCCI · 4 publications · 75 citations
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Conference · 3 publications · 152 citations
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