González, PolZahir, AdamGrasselli, ChiaraMuñiz, AlejandroGgroshev, MilanBarzegar, SimaCallegati, FrancoCareglio, DavideRuiz, MarcVelasco, Luis2023-12-222023-12-222023https://hdl.handle.net/10016/39151This paper has been submitted at : Optical Fiber Communication Conference 2024A 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 pipeline3eng© 2024 The AuthorsDeployment of Secure Machine Learning Pipelines for Near-Real-Time Control of 6G Network Servicesconference paperTelecomunicacionesopen access13