# Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions

arXiv: https://arxiv.org/abs/2311.17471 · HTML: https://mlsanity.com/paper/2311.17471/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 21 references that are in the map.
- First posted on arXiv 29 Nov 2023.

## Builds on (most cited first, 3 of 3)

- [AI for Next Generation Computing: Emerging Trends and Future Directions](https://mlsanity.com/paper/2203.04159/) (2022)
- [Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration](https://mlsanity.com/paper/2205.01423/) (2022)
- [Edge Federation: Towards an Integrated Service Provisioning Model](https://mlsanity.com/paper/1902.09055/) (2019)

## Abstract (arXiv)

Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively offer computation and storage resources. This transformation presents substantial challenges to network administration and service providers regarding sustainability and scalability. This article combines Distributed Artificial Intelligence (DAI) with Zero-touch Provisioning (ZTP) for edge networks. This combination helps to manage network devices seamlessly and intelligently by minimizing human intervention. In addition, several advantages are also highlighted that come with incorporating Distributed AI into ZTP in the context of edge networks. Further, we draw potential research directions to foster novel studies in this field and overcome the current limitations.