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
  • , Djamal Zeghlache

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference in Proceedings Optical Fiber Communication Conference, OFC 2024
PublisherOptical Society of America
ISBN (Electronic)9781957171326
DOIs
Publication statusPublished - 1 Jan 2024
Event2024 Optical Fiber Communication Conference, OFC 2024 - San Diego, United States
Duration: 24 Mar 202428 Mar 2024

Publication series

NameOptical Fiber Communication Conference in Proceedings Optical Fiber Communication Conference, OFC 2024

Conference

Conference2024 Optical Fiber Communication Conference, OFC 2024
Country/TerritoryUnited States
CitySan Diego
Period24/03/2428/03/24

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