Experimental Demonstration of Online Learning-Based Concept Drift Adaptation for Failure Detection in Optical Networks

arXiv (Cornell University) 2026 Preprint Open access

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Authors: Yousuf Moiz Ali, Jaroslaw E. Prilepsky, João Pedro, Antonio Napoli, Sasipim Srivallapanondh, Sergei Konstantinovich Turitsyn, Pedro Freire
Cited by: 0

Abstract

We present a novel online learning-based approach for concept drift adaptation in optical network failure detection, achieving up to a 70% improvement in performance over conventional static models while maintaining low latency.

Fields of Study & Subjects

Data Stream Mining Techniques Advanced Optical Network Technologies Optical Network Technologies

Publication details

Journal / source
arXiv (Cornell University)
Publication date
11 February 2026
Language
EN
Document type
Preprint