Abstract: A method for managing a deployment of a machine learning model in a system comprising a training node and an inference node, the method comprising: training, by the training node, the machine learning model; generating, by the training node, a first set of confidence scores; transmitting, by the training node to the inference node, the first set of confidence scores and a representation of the machine learning model; generating, by the inference node: inferences by inputting data obtained by the inference node into the machine learning model; and a second set of confidence scores comprising confidence scores associated with the inferences; determining, by the inference node, whether the first set of confidence scores and the second set of confidence scores are similar; and if not, transmitting, by the inference node, at least part of the data for training an updated machine learning model at the training node.