TECHNICAL SYSTEM FOR A CENTRALIZED GENERATION OF A PLURALITY OF TRAINED, RETRAINED AND/OR MONITORED MACHINE LEARNING MODELS, WHEREIN THE GENERATED MACHINE LEARNING MODELS ARE EXECUTED DECENTRAL

Technical system for a centralized generation of a plurality of trained, retrained and/or monitored machine learning models, wherein the generated machine learning models are executed decentral The invention is directed to a Technical system for a centralized generation of a plurality of trained, retrained and/or monitored machine learning models to be executed decentral, comprising: a. a communication link or a communication interface; wherein b. the communication link or the communication interface is configured to communicate data bidirectional between a central machine learning platform with a machine learning unit and a plurality of decentral units; c. the central machine learning platform and the plurality of decentral units; wherein d. the central machine learning platform with the machine learning unit is connected to the communication link or the communication interface; wherein e. the central machine learning platform is configured to train, retrain and/or monitor a respective machine learning model for each decentral unit of the plurality of decentral units based on training data, wherein the training data of the decentral unit is received from the respective decentral unit of the plurality of decentral units and/or other at least one unit; wherein f. the central machine learning platform is configured to provide the respective trained, retrained and/or monitored machine learning model via the communication link or the communication interface for the respective decentral unit of the plurality of decentral units; wherein g. each decentral unit of the plurality of decentral units is connected to the communication link or the communication interface; wherein h. each decentral unit of the plurality of decentral units is configured to receive the respective trained, retrained and/or monitored machine learning model of the generated plurality of machine learning models from the central machine learning platform via the communication link or the communication interface; wherein i. each decentral unit of the plurality of decentral units is configured to execute the received trained, retrained and/or monitored machine learning model. Further, the invention relates to a Computer-implemented Method and a non-transitory computer-readable data storage medium. Des systèmes techniques destinés à la génération centralisée d'une pluralité de modèles d'apprentissage machine formés, reformés et/ou surveillés, les modèles d'apprentissage machine générés étant exécu