Run-Yu Wang

Metadata Clustering-Driven Federated Learning for Multi-Domain Virtual Network Function Scaling

In multi-domain networking, virtual network function (VNF) scaling using machine learning requires an accurate prediction model while addressing privacy constraints and non-identical and independently distributed (non-IID) data across domains. Current models have used conventional federated learning (FL) methods, such...