Field Trial of Privacy-preserving Resource Allocation in Multi-domain Optical Networks Based on Federated Reinforcement Learning

We propose and demonstrate federated reinforcement learning enabled multi-domain optical networks resource allocation in China's national network across over 2420 km, saving 30% decision time and obtaining even better optimal configuration without sensitive information disclosure.