METHODS AND SYSTEMS FOR REMOTE TRAINING OF A MACHINE LEARNING MODEL

摘要

A computer-implemented method for training a machine learning model, the method comprising performing, by a computing device, a plurality of training iterations, wherein each training iteration comprises inputting a set of training data to the machine learning model, determining an output of the model from processing the set of training data, and updating one or more parameters of the model based on the output of the model, the method further comprising, for one or more of the training iterations, determining, based on the output of the model for the training iteration, a measure of the stability of the model; and determining, based on the stability of the model, whether to send the updated model parameters via a communication channel to a remote computing device.