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Communication Dans Un Congrès Année : 2024

Demonstration of a compositional learning framework for open and disaggregated optical network control

Résumé

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.
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Dates et versions

hal-04600056 , version 1 (04-06-2024)

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Citer

Huy Quang Tran, Javier Errea, Huu Trung Thieu, Quan Pham Van, Nakjung Choi, et al.. Demonstration of a compositional learning framework for open and disaggregated optical network control. Optical Fiber Communications Conference and Exhibition (OFC), IEEE, Mar 2024, San Diego, United States. ⟨10.1364/OFC.2024.M3Z.10⟩. ⟨hal-04600056⟩
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