DISTRIBUTED TRAINING OF MACHINE LEARNING MODELS FOR PERSONALIZATION

摘要

A method for distributed training of an artificial intelligence (AI) machine learning (ML) model, a system for distributed training of an artificial intelligence (AI) machine learning (ML) model, and a computer-readable medium having stored thereon a computer program which, when executed by one or more processors, implements the method for distributed training of the ML model are claimed. The method comprises the steps of: accumulating user generated data by user input in each of the one or more UEs during a data accumulation period, transmitting training data from the server to the one or more UEs, performing ML model training in each of the one or more UEs based on the collected data and the training data until a training stop criterion is met, and acquiring trained ML models at the server from said one or more UEs.