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AI@EDGE: A Secure and Reusable Artificial Intelligence Platform for Edge Computing
RISE Research Institutes of Sweden.ORCID iD: 0000-0002-8329-2779
i2CAT Foundation, Spain.
Ericsson AB, Sweden.
Telecom Italia SpA, Italy.
Show others and affiliations
2021 (English)In: 2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), 2021, p. 610-615Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth industrial revolution. This trend has been acknowledged by the European Commission, who has pointed out how high-performance, intelligent, and secure networks are fundamental for the evolution of the multiservice Next Generation Internet (NGI). While great progress has been done in the accuracy and performance of AI-enabled platforms, their integration in autonomous decision-making and critical systems requires end-to-end quality assurance. AI@EDGE addresses these challenges harnessing the concept of “reusable, secure, and trustworthy AI for network automation”. To this end, AI@EDGE targets significant breakthroughs in two fields: (i) general-purpose frameworks for closed-loop network automation capable of supporting flexible and programmable pipelines for the creation, utilization, and adaptation of the secure, reusable, and trustworthy AI/ML models; and (ii) converged connect-compute platform for creating and managing resilient, elastic, and secure end-to-end slices supporting a diverse range of AI-enabled network applications. Cooperative perception for vehicular networks, secure, multi-stakeholder AI for Industrial Internet of Things, aerial infrastructure inspections, and in-flight entertainment are the uses cases targeted by AI@EDGE to maximise its commercial, societal, and environmental impact.

Place, publisher, year, edition, pages
2021. p. 610-615
Keywords [en]
Quality assurance, Pipelines, Force, Entertainment industry, Inspection, Market research, Internet, AI, 5G, MEC, automation, disaggregated RANs, ML-based security, hardware acceleration, serverless platforms
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-55998DOI: 10.1109/EuCNC/6GSummit51104.2021.9482440OAI: oai:DiVA.org:ri-55998DiVA, id: diva2:1588388
Conference
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
Available from: 2021-08-27 Created: 2021-08-27 Last updated: 2021-08-27Bibliographically approved

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Riggio, Roberto

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