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Patent Searching and Data


Title:
FEDERATED LEARNING MODEL TRAINING METHOD AND APPARATUS, AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/144001
Kind Code:
A1
Abstract:
Disclosed are a federated learning model training method and apparatus, and an electronic device, which are applied to a service end. The method comprises: if a training node meets a preset splitting condition, acquiring a target splitting manner corresponding to the training node, wherein the training node is a node on one boosting tree in a plurality of boosting trees; notifying a client of performing node splitting on the basis of the target splitting manner; taking, as the training node again, a left sub-tree node generated after the splitting of the training node, so as to perform the next round of training until the updated training node no longer meets the preset splitting condition; taking another non-leaf node of the boosting tree as the training node again, so as to perform the next round of training; and if node data sets of the plurality of boosting trees are all empty, stopping the training and generating a target federated learning model. Therefore, in the present application, by mixing transverse and longitudinal splitting manners, the tendency of a matched learning manner is automatically selected without considering a data distribution manner, thereby improving the performance of a federated learning model.

Inventors:
WANG PEIQI (CN)
ZHANG WENXI (CN)
GU SONGXIANG (CN)
BO LIEFENG (CN)
SUN MENGZHE (CN)
Application Number:
PCT/CN2021/143890
Publication Date:
July 07, 2022
Filing Date:
December 31, 2021
Export Citation:
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Assignee:
JINGDONG TECH HOLDING CO LTD (CN)
International Classes:
G06K9/62; G06N3/04; G06N3/08; G06N20/00; G06N20/20
Foreign References:
CN113822311A2021-12-21
CN113807544A2021-12-17
CN109165683A2019-01-08
CN111178408A2020-05-19
CN110782042A2020-02-11
US20180172667A12018-06-21
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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