Liaison statement
LS on the consent of Recommendation ITU-T Y.3181 (ex-Y.ML-IMT2020-sandbox):“Architectural framework for Machine Learning Sandbox in future networks including IMT-2020”

This LS informs about the consent of Recommendation ITU-T Y.3181
(ex-Y.ML-IMT2020-sandbox) “Architectural framework for Machine Learning Sandbox
in future networks including IMT-2020”.

ITU-T Study Group 13 would like to inform you about the consent of
Recommendation ITU-T Y.3181 (ex-Y.ML-IMT2020-sandbox) “Architectural framework
for Machine Learning Sandbox in future networks including IMT-2020” (see
attachment), which has been progressed within Question 20/13 ("Networks beyond
IMT-2020 and machine learning: Requirements and architecture").

This document derives from a deliverable of the Focus Group on Machine Learning
for Future Networks including 5G (FG-ML5G) established under ITU-T SG13 in
November 2017. The document describes requirements and high-level architecture
for ML sandbox in future networks including IMT-2020. Architectural components
along with corresponding reference points and APIs are specified.

SG13 believes that this document will help in improving the robustness and
resilience of future ML-enabled networking systems. ML sandbox allows the
evaluation and validation of ML models in an isolated environment using
simulators, before their deployment in the real network.

SG13 looks forward to keeping continued collaboration and exchange with you in
the field of ML in networks. For your information, SG13 will hold its next
co-located Rapporteurs’ group meetings on 14-25 November 2022 - meeting time
and venue are available in SG13 - Future networks and emerging network
technologies (itu.int).

Attachment:
SG13-TD74/WP1: Draft new Recommendation ITU-T Y.3181 (ex-Y.ML-IMT2020-SANDBOX)
“Machine learning sandbox for future networks including IMT-2020: requirements
and architecture framework”