公开(公告)号：US20230237333A1

公开(公告)日：2023-07-27

申请号：US18185550

申请日：2023-03-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yunfeng SHAO ,  Shaoming SONG ,  Wenpeng LI ,  Kaiyang GUO ,  Li QIAN

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: A machine learning model training method is applied to a first client, a plurality of clients are communicatively connected to a server, the server stores a plurality of modules, and the plurality of modules are configured to construct at least two machine learning models. The method includes: obtaining a first machine learning model, where at least one first machine learning model is selected based on a data feature of a first training data set stored in the first client; performing a training operation on the at least one first machine learning model by using the first data set, to obtain at least one trained first machine learning model; and sending at least one updated module to the server, where the updated module is used by the server to update weight parameters of the stored modules.