Score-based diffusion models are a class of generative models whose dynamics is described by stochastic differential equations that map noise into data.
Artificial Intelligence (AI) has recently attracted a lot of attention, transitioning from research labs to a wide range of successful deployments in many fields, which is particularly true for Deep Learning (DL) techniques.
The recent popularity growth of Deep Learning (DL) re-ignited the interest towards traffic classification, with several studies demonstrating the accuracy of DL-based classifiers to identify Internet applications' traffic.
The increasing success of Machine Learning (ML) and Deep Learning (DL) has recently re-sparked interest towards traffic classification.
Federated learning (FL) is an appealing concept to perform distributed training of Neural Networks (NN) while keeping data private.