METHOD, DEVICE, CENTRAL DEVICE, AND SYSTEM FOR DETECTING DISTRIBUTION SHIFT IN A DATA AND/OR FEATURE DISTRIBUTION OF INPUT DATA

摘要

A method for detecting a distribution shift in a data and/or feature distribution of input data, wherein the method is carried out in at least one mobile device and includes receiving the input data by an input device, performing a function, which is identical according to the objective, on the received input data by a first processing module and at least one second processing module, wherein the first processing module and the at least one second processing module are structurally different than one another, wherein at least the first processing module was created based on machine learning, comparing the results delivered by the processing modules and discovering a distribution shift based on the comparison result by an evaluation device, and providing a candidate signal in response to a distribution shift being discovered, and outputting the provided candidate signal by an output device.