descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object 01 Jan 2024Publisher:Optica Publishing GroupJournal:Optical Fiber Communication Conference (OFC) 2024Funded by:EC | DESIRE6G

Authors: González Pacheco, Pol; Zahir, Adam; Grasselli, Chiara; Muñiz Da Costa, Alejandro; Groshev, Milan; Barzegar, Sima; CALLEGATI, FRANCO; +3 Authors

Deployment of Secure Machine Learning Pipelines for Near-Real-Time Control of 6G Network Services

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Abstract

A ML function orchestrator deploying secure ML pipelines to support near-real-time control of network services is demonstrated. A distributed ledger supports the initial key exchange to establish secure connectivity among the agents in the pipeline.

Related Organizations

Universitat Politècnica de Catalunya
Spain
Universitat Polite`cnica de Catalunya
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Alma Mater Studiorum University of Bologna
Italy
Carlos III University of Madrid
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Carlos III University Madrid (UC3M)
Spain

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Keywords

Distributed ledger, Pipelines, Optical fiber communication, Telecomunicaciones, 6G mobile communication, 6G mobile communication;Distributed ledger;Pipelines;Machine learning;Optical fiber communication, Machine learning, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica

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