Machine Learning

Invited Talk: Toward Deployment of ML in Optical Networks,Transfer Learning, Monitoring and Modelling

This talk reviewed challenges of ML deployments in optical networks. A transfer-learning based ML lifecycle-management is presented with reduced requirements of practical data over a cloud-based monitoring platform and paves the way to further deployments.

Special Issue: Machine Learning in the Era of Computing and Network Integration

Dear Colleagues, The developing concepts in networks, such as software-defined networking (SDN), virtual network embodiments, network function virtualization (NFV), and end-to-end orchestration, have increased the complexity of network management significantly, to a level that reaches far beyond what the current network management tools can offer.