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A Data-Driven Approach to Autonomous Management of Photonic Switching System

Abstract

We propose a data-driven approach based on Machine Learning (ML) to predict control signals of a photonic switching system. The proposed ML agent is trained and tested in a completely topological and technological agnostic way and we envision its application in real-time control-planes

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PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino)

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Last time updated on 15/07/2022

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