A Meta-learning-assisted Training Framework for AI Deployment in Optical Networks

A meta-learning-assisted training framework is proposed to improve the robustness and adaptation ability of the machine-learning-based applications deployed to practical optical networks. In simulations, applications trained by this framework can outperform the traditionally-trained one in systems with various parameter uncertainties.