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

The demonstration shows a machine learning function orchestrator that deploys secure ML pipelines to support near-real-time control of network services. The pipelines consist of intelligent agents placed in distant locations close to the data plane, coordinating to control a 6G network service, together with the communication infrastructure they need. A distributed ledger supports the initial key exchange that establishes secure connectivity among the agents.

Citation

P. González, A. Zahir, C. Grasselli, A. Muñiz, M. Groshev, S. Barzegar, F. Callegati, D. Careglio, M. Ruiz, and L. Velasco, “Deployment of Secure Machine Learning Pipelines for Near-Real-Time Control of 6G Network Services,” in Optical Fiber Communication Conference (OFC) 2024, Technical Digest Series, San Diego, CA, USA: Optica Publishing Group, 2024, paper M3Z.8, doi: 10.1364/OFC.2024.M3Z.8.

Authors from IE Research Datalab