边缘人工智能路线图

IF 2.2 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

ACM Sigcomm Computer Communication Review Pub Date : 2021-11-27 DOI:10.1145/3523230.3523235

A. Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, S. Dustdar, Thomas Hiessl, D. Kranzlmuller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, J. Ott, Jan S. Rellermeyer, Stefan Schulte, H. Schulzrinne, Gürkan Solmaz, S. Tarkoma, B. Varghese, L. Wolf

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引用次数: 25

摘要

基于Dagstuhl研讨会(21342)的集体投入，本文对边缘计算背景下的人工智能方法和能力进行了全面的讨论，称为边缘人工智能。简而言之，我们设想边缘人工智能为数据驱动的应用程序提供适应，增强网络和无线电访问，并允许创建、优化和部署具有给定体验质量、信任、安全和隐私目标的分布式AI/ML管道。边缘人工智能社区研究边缘计算环境的新型ML方法，涵盖计算机科学、工程和信息通信技术的多个子领域。目标是分享一个设想的路线图，可以将关键参与者和推动者聚集在一起，进一步推进边缘人工智能领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Roadmap for edge AI

Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation, optimisation, and deployment of distributed AI/ML pipelines with given quality of experience, trust, security and privacy targets. The Edge AI community investigates novel ML methods for the edge computing environment, spanning multiple sub-fields of computer science, engineering and ICT. The goal is to share an envisioned roadmap that can bring together key actors and enablers to further advance the domain of Edge AI.

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来源期刊

ACM Sigcomm Computer Communication Review 工程技术-计算机：信息系统

CiteScore

6.90

自引率

3.60%

发文量

审稿时长

4-8 weeks

期刊介绍： Computer Communication Review (CCR) is an online publication of the ACM Special Interest Group on Data Communication (SIGCOMM) and publishes articles on topics within the SIG''s field of interest. Technical papers accepted to CCR typically report on practical advances or the practical applications of theoretical advances. CCR serves as a forum for interesting and novel ideas at an early stage in their development. The focus is on timely dissemination of new ideas that may help trigger additional investigations. While the innovation and timeliness are the major criteria for its acceptance, technical robustness and readability will also be considered in the review process. We particularly encourage papers with early evaluation or feasibility studies.