Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Erixhen Sula
2020
Conference paper

Abstract

We experimentally achieve a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing launch powers using deep neural networks in a parallel fiber context. (C) 2020 The Authors

Official source

https://infoscience.epfl.ch/record/288119?ln=en

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Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

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Deep Learning Generalization with Limited and Noisy Labels

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

Leveraging Unlabeled Data to Track Memorization