Knowledge Commons of Institute of Automation,CAS
A Survey on Collaborative DNN Inference for Edge Intelligence | |
Wei-Qing Ren1; Yu-Ben Qu1; Chao Dong1; Yu-Qian Jing1; Hao Sun1; Qi-Hui Wu1; Song Guo2 | |
发表期刊 | Machine Intelligence Research |
ISSN | 2731-538X |
2023 | |
卷号 | 20期号:3页码:370-395 |
摘要 | With the vigorous development of artificial intelligence (AI), intelligence applications based on deep neural networks (DNNs) have changed people's lifestyles and production efficiency. However, the large amount of computation and data generated from the network edge becomes the major bottleneck, and the traditional cloud-based computing mode has been unable to meet the requirements of realtime processing tasks. To solve the above problems, by embedding AI model training and inference capabilities into the network edge, edge intelligence (EI) becomes a cutting-edge direction in the field of AI. Furthermore, collaborative DNN inference among the cloud, edge, and end devices provides a promising way to boost EI. Nevertheless, at present, EI oriented collaborative DNN inference is still in its early stage, lacking systematic classification and discussion of existing research efforts. Motivated by it, we have comprehensively investigated recent studies on EI-oriented collaborative DNN inference. In this paper, we first review the background and motivation of EI. Then, we classify four typical collaborative DNN inference paradigms for EI, and analyse their characteristics and key technologies. Finally, we summarize the current challenges of collaborative DNN inference, discuss future development trends and provide future research directions. |
关键词 | Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference |
DOI | 10.1007/s11633-022-1391-7 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55985 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China 2.Department of Computing, Hong Kong Polytechnic University, Hong Kong 999077, China |
推荐引用方式 GB/T 7714 | Wei-Qing Ren,Yu-Ben Qu,Chao Dong,et al. A Survey on Collaborative DNN Inference for Edge Intelligence[J]. Machine Intelligence Research,2023,20(3):370-395. |
APA | Wei-Qing Ren.,Yu-Ben Qu.,Chao Dong.,Yu-Qian Jing.,Hao Sun.,...&Song Guo.(2023).A Survey on Collaborative DNN Inference for Edge Intelligence.Machine Intelligence Research,20(3),370-395. |
MLA | Wei-Qing Ren,et al."A Survey on Collaborative DNN Inference for Edge Intelligence".Machine Intelligence Research 20.3(2023):370-395. |
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MIR-2022-07-227.pdf(2969KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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