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

Published 11 Feb 2026 in cs.LG, eess.SP, and physics.optics | (2602.10401v1)

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.

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