The UK National Edge AI Hub

Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646, Ranjan, Rajiv and Kaushik, Gaurav 2026. The UK National Edge AI Hub. Presented at: 2th IFIP WG 6.12 European Conference, ESOCC 2026, Bolzano, Italy, 7 - 8 September 2026. Published in: Balouek, Daniel, Filograna, Antonio, Rana, Omer, Schulte, Stefan and Villari, Massimo eds. Service-Oriented and Cloud Computing. Lecture Notes in Computer Science Cham, Switzerland: Springer Nature Switzerland, pp. 185-188. 10.1007/978-3-032-37831-6_14

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Abstract

The UK National Edge AI Hub is a large-scale initiative advancing the design and deployment of artificial intelligence systems at the network edge, with strong alignment to service-oriented computing. The Hub integrates academic, industry, and public-sector stakeholders to develop modular and interoperable AI capabilities that can be orchestrated across heterogeneous, resource-constrained environments. It promotes distributed intelligence through federated learning and adaptive lifecycle management, enabling decomposition and dynamic composition of AI functionalities close to data sources. This supports low-latency, privacy-preserving, and resilient service delivery across sectors such as transport, healthcare, and energy. The research addresses key challenges in service-oriented computing systems, including coordination under intermittent connectivity, quality-of-service trade-offs, and integration of AI-driven services into critical infrastructures. Trust, security, and governance are treated as first-class concerns, aligning with the principles of reliability, accountability, and policy compliance. Through co-design with stakeholders and validation in real-world testbeds, the Hub demonstrates how Edge AI can be realised as a scalable ecosystem of intelligent services, supporting flexible, context-aware, and sustainable digital infrastructure.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computational & Mathematical Sciences Schools > Computer Science & Informatics
Publisher:	Springer Nature Switzerland
ISBN:	9783032378309
ISSN:	0302-9743
Last Modified:	19 Oct 2026 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/190308

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