Abstract: There is provided a method for generating a machine learning model. The method is performed by an entity. In response to receiving model parameters of a plurality of machine learning models, a machine learning model is generated based on the model parameters of the plurality of machine learning models. Each of the plurality of machine learning models is trained by a different network node of a network functions virtualization (NFV) architecture based on data that is local to that network node.