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Upgrade of Deep Neural Network-based Optical Monitors by Communication-Efficient Federated Learning

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Abstract

We present an efficient scheme to upgrade DNN-based optical monitors collaboratively trained through multiple network operators without revealing each confidential data, applying federated learning with pre-model size reduction based on transferable lottery ticket hypothesis.

© 2023 The Author(s)

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Poster Presentation

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