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

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.