mlsanityData to 7 Oct 2026

Roadmap for Edge AI: A Dagstuhl Perspective

arXiv 2112.00616 ↗First posted 27 Nov 2021cs.DC cs.AIcited by 4

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Abstract (arXiv)

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, optimization, 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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 7 of its 14 references that are in the map. First posted on arXiv 27 Nov 2021.

Builds on

7 of 14 references.

References · 7

  1. 2020Data Poisoning Attacks Against Federated Learning Systemscited by 266
  2. 20206G White Paper on Edge Intelligencecited by 14
  3. 2020Enabling Joint Communication and Radar Sensing in Mobile Networks -- A Surveycited by 9
  4. 2018Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty?cited by 4
  5. 2020Computational Models of Human Decision-Making with Application to the Internet of Everythingcited by 3
  6. 2020Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligencecited by 2
  7. 2021Revisiting the Arguments for Edge Computing Researchcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 2; 2024: 0; 2025: 0; 2026: 1.

4 papers.

  1. 2022Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestrationcited by 12
  2. 2026Future of Edge AI in biodiversity monitoringcited by 3
  3. 2023Edge AI for Internet of Energy: Challenges and Perspectivescited by 1
  4. 2023A Path to Holistic Privacy in Stream Processing Systemscited by 0