Communication-Efficient Edge AI: Algorithms and Systems

doi:10.1109/COMST.2020.3007787

	Communication-Efficient Edge AI: Algorithms and Systems
	Yuanming Shi1 ; Kai Yang1,2,3 ; Tao Jiang1 ; Jun Zhang 4; Khaled B. Letaief 4,5
	2020
发表期刊	IEEE COMMUNICATIONS SURVEYS & TUTORIALS
ISSN	2373-745X
卷号	22 期号:4
DOI	10.1109/COMST.2020.3007787
摘要	Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields, ranging from speech processing, image classification to drug discovery. This is driven by the explosive growth of data, advances in machine learning (especially deep learning), and the easy access to powerful computing resources. Particularly, the wide scale deployment of edge devices (e.g., IoT devices) generates an unprecedented scale of data, which provides the opportunity to derive accurate models and develop various intelligent applications at the network edge. However, such enormous data cannot all be sent to the cloud for processing, due to the varying channel quality, traffic congestion and/or privacy concerns, and the enormous energy consumption. By pushing inference and training processes of AI models to edge nodes, edge AI has emerged as a promising alternative. AI at the edge requires close cooperation among edge devices, such as smart phones and smart vehicles, and edge servers at the wireless access points and base stations, which however result in heavy communication overheads. In this paper, we present a comprehensive survey of the recent developments in various techniques for overcoming these communication challenges. Specifically, we first identify key communication challenges in edge AI systems. We then introduce communication-efficient techniques, from both algorithmic and system perspectives for training and inference tasks at the network edge. Potential future research directions are also highlighted.
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收录类别	SCIE ; EI
来源库	IEEE
引用统计	被引频次：221[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/122182
专题	信息科学与技术学院_PI研究组_石远明组信息科学与技术学院_硕士生信息科学与技术学院_博士生
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China 3.University of Chinese Academy of Sciences, Beijing, China 4.Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong 5.Peng Cheng Laboratory, Shenzhen, China
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Yuanming Shi,Kai Yang,Tao Jiang,et al. Communication-Efficient Edge AI: Algorithms and Systems[J]. IEEE COMMUNICATIONS SURVEYS & TUTORIALS,2020,22(4).
APA	Yuanming Shi,Kai Yang,Tao Jiang,Jun Zhang,&Khaled B. Letaief.(2020).Communication-Efficient Edge AI: Algorithms and Systems.IEEE COMMUNICATIONS SURVEYS & TUTORIALS,22(4).
MLA	Yuanming Shi,et al."Communication-Efficient Edge AI: Algorithms and Systems".IEEE COMMUNICATIONS SURVEYS & TUTORIALS 22.4(2020).