METHODS, APPARATUS AND MACHINE-READABLE MEDIA RELATING TO MACHINE-LEARNING IN A COMMUNICATION NETWORK

In one aspect, a method performed by a first network entity in a communications network is provided. The method comprises training a model to obtain a local model update comprising an update to values of one or more parameters of the model, in which training the model comprises inputting training data into a machine learning algorithm. The method further comprises applying a serialisation function to the local model update to construct a serial representation of the local model update, thereby removing information indicative of a structure of the model, and transmitting the serial representation of the local model update to an aggregator entity in the communications network.