Edge Artificial Intelligence
Edge Artificial Intelligence is a distributed computing paradigm within artificial intelligence and edge computing that executes machine learning models and inference directly on or near data-generating edge devices, thereby decentralising computation from cloud or central data centres to achieve low-latency, context-aware, and real-time data processing.
2.7K
Publications
153.4K
Citations
8.3K
Authors
1.8K
Institutions
Publications per year
2017–2026
2.7K
2.7K
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
Zhi Zhou, Xu Chen, En Li et al. · Proceedings of the IEEE · 2019 · 2.2K citations · Full text
Federated Learning with Non-IID Data
Yue Zhao, Meng Li, Liangzhen Lai et al. · arXiv (Cornell University) · 2018 · 1.9K citations · Full text
EGNet: Edge Guidance Network for Salient Object Detection
Jiaxing Zhao, Jiangjiang Liu, Deng-Ping Fan et al. · 2019 · 1.2K citations
1–5 of 2.7K
8.3K
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27
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19
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1.8K
Nanyang Technological University
Singapore, Singapore
36 h-index
171 publications
12.5K citations

Beijing University of Posts and Telecommunications
Beijing, China
35 h-index
141 publications
6.8K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
33 h-index
81 publications
7.8K citations
Tsinghua University
Beijing, China
33 h-index
202 publications
16.4K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
30 h-index
86 publications
9.1K citations

Chinese Academy of Sciences
Beijing, China
30 h-index
125 publications
6.3K citations

Xidian University
Xi'an, China
29 h-index
94 publications
8.2K citations

Huazhong University of Science and Technology
Wuhan, China
29 h-index
94 publications
6.7K citations
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126 publications · 10.2K citations
48
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96 publications · 5.1K citations
41
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Repository · 124 publications · 7.2K citations
37
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46 publications · 3.8K citations
33
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TMCCI · 39 publications · 2.2K citations
31
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