@inproceedings{cd973e45a6f242b0acf6e5a456fa3d85,
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 \{Pham Van\}, Quan and Nakjung Choi and Dominique Verchere and Adlen Ksentini and Djamal Zeghlache",
note = "Publisher Copyright: {\textcopyright} 2024 OSA.; 2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 ; Conference date: 24-03-2024 Through 28-03-2024",
year = "2024",
month = jan,
day = "1",
language = "English",
series = "2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings",
}