Collaborative Inference
Collaborative Inference is a distributed inferencing paradigm in edge artificial intelligence whereby multiple edge devices or nodes cooperatively execute model inference by sharing computational tasks, intermediate representations, or predictions to enhance accuracy, efficiency, or scalability, distinguishing it from isolated or centralized inference approaches.
83
Publications
5.4K
Citations
298
Authors
117
Institutions
Publications per year
2017–2026
57
Parents
83
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim · 2017 · 747 citations
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida et al. · 2020 · 282 citations · Full text
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy et al. · 2010 · 202 citations
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117
University of California, Los Angeles
Los Angeles, United States
8 h-index
21 publications
638 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
3 h-index
11 publications
668 citations

University of Freiburg
Freiburg im Breisgau, Germany
3 h-index
6 publications
134 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
7 publications
785 citations

Beijing Institute of Technology
Beijing, China
3 h-index
9 publications
429 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
11 publications
4.7K citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
9 publications
242 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
170 citations
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Repository · 7 publications · 264 citations
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TMCCI · 6 publications · 232 citations
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5 publications · 281 citations
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4 publications · 271 citations
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2 publications · 37 citations
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