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2020.09.30

MACHINE LEARNING SYSTEM AND MACHINE LEARNING METHOD

Taiwan, Province of China

Overview

A machine learning system includes a central device and several client devices. The client devices receive a central model from the central device respectively, and include a first and a second client device. The first and the second client device stores a first parameter set and a second parameter set, respectively, and perform training on the received central models according to the first parameter set and the second parameter set, respectively, so as to respectively generate a first and a second training results. Under the condition that the central device has received the first training result of an mth round training corresponding to the first client device and has not received a second training result of an nth round training corresponding to the second client device, when a difference between m and n is not higher than a threshold value, the central device updates the central model according to the first training result corresponding to the mth round training and without using the second training result corresponding to the nth round training.