Roadmap for edge AI: A Dagstuhl Perspective

Journal
Computer communication review  
Volume
52
Issue
1
Start Page
28
End Page
33
Citation
Computer Communication Review 52 (1): 28-33 (2022-01)
Publisher DOI
10.1145/3523230.3523235
Scopus ID
2-s2.0-85125850007
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.
Subjects
5G Beyond
Edge AI
Edge Computing
Future Cloud
Roadmap