ITU AI/ML in 5G Challenge – “Demonstration of machine learning function orchestrator (MLFO) via reference implementations (ITU-ML5G-PS-024)
[ITU-T Y.3172] specified machine learning function orchestrator (MLFO) as an architecture component for integration of AI/ML in future networks including 5G. Based on the requirements of multiple use cases and reference points as explained in the [ITU-T Y.Sup55], MLFO presents an interesting challenge of its reference implementation. The first part of the talk is intended to discuss the problems addressed by the MLFO, MLFO architecture, and important reference points. The second part of the talk will discuss the challenge to support the reference implementation of MLFO including specific concepts and evaluation criteria.