公开(公告)号：US20240346329A1

公开(公告)日：2024-10-17

申请号：US18750688

申请日：2024-06-21

Applicant: Huawei Technologies Co., Ltd.

Inventor： Mengyao Ma ,  Kin Nang Lau ,  Liqun Su

IPC: G06N3/098 ,  G06N3/0495

CPC classification number: G06N3/098 ,  G06N3/0495

Abstract: This application provides a method and an apparatus for training an intelligent model. The method includes: A central node and a plurality of participant node groups jointly perform training of the intelligent model, the intelligent model consists of a plurality of feature models corresponding to a plurality of features of an inference target, participant nodes in one of the participant node groups train one of the feature models, and the training method is performed by a participant node, and includes: receiving, from the central node, first information that indicates an inter-feature constraint variable, where the inter-feature constraint variable represents a constraint relationship between different features; obtaining, based on the inter-feature constraint variable, a model parameter of a first feature model, and first sample data by using a gradient inference model, gradient information corresponding to the inter-feature constraint variable; and sending the gradient information to the central node.