@inproceedings{a0e6793e0d2d4be5a0ffa5ea2e0ad1be,
title = "Demonstration of a Compositional Learning Framework for Open and Disaggregated Optical Network Control",
abstract = "We introduce an automated Compositional Learning Framework, which can dynamically combine ML models to create a composite ML service. It leverages the MLOps principle to streamline drift-aware ML workflows. We showcase its applicability in the dynamic Routing Modulation and Spectrum Allocation scenario with an open disaggregated control platform.",
author = "Tran, \{Huy Quang\} and Javier Errea and Thieu, \{Huu Trung\} and Van, \{Quan Pham\} and Nakjung Choi and Dominique Verchere and Adlen Ksentini and Djamal Zeghlache",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s).; 2024 Optical Fiber Communication Conference, OFC 2024 ; Conference date: 24-03-2024 Through 28-03-2024",
year = "2024",
language = "English",
series = "Optical Fiber Communication Conference in Proceedings Optical Fiber Communication Conference, OFC 2024",
publisher = "Optical Society of America",
booktitle = "Optical Fiber Communication Conference in Proceedings Optical Fiber Communication Conference, OFC 2024",
}