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Conferences > OFC > 2024 > M3Z > M3Z.10

Demonstration of a Compositional Learning Framework for Open and Disaggregated Optical Network Control

Huy Quang Tran, Javier Errea, Huu Trung Thieu, Quan Pham Van, Nakjung Choi, Dominique Verchere, Adlen Ksentini, and Djamal Zeghlache

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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 dy-namic Routing Modulation and Spectrum Allocation scenario with an open disaggregated control platform.

© 2024 The Author(s)

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