Roadmap for Edge AI: A Dagstuhl Perspective

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Uri
Date Issued
January 2022
Date Available
24T10:56:35Z August 2022
Abstract
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.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
CHIST-ERA grant
Austrian Science Fund (FWF)
Type of Material
Journal Article
Publisher
Association for Computing Machinery (ACM)
Journal
ACM SIGCOMM Computer Communication Review
Volume
52
Issue
1
Start Page
28
End Page
33
Copyright (Published Version)
2022 the Authors
Keywords
DOI
Language
English
Status of Item
Peer reviewed
ISSN
0146-4833
This item is made available under a Creative Commons License
Owning collection
Computer Science Research Collection