Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Federation model method and device and storage medium

A modeling method and federated technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of small application scope of federated modeling, and achieve the effect of expanding the scope of application

Active Publication Date: 2018-12-14
WEBANK (CHINA)
View PDF4 Cites 55 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a federated modeling method, device and storage medium, aiming to solve the problem that the application range of federated modeling is small

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Federation model method and device and storage medium
  • Federation model method and device and storage medium
  • Federation model method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] The main solution of the embodiment of the present invention is: input the first training sample and the second training sample; train the first training sample and the second training sample based on Xgboost algorithm and encryption algorithm to obtain a decision tree prediction model; Predict the samples to be predicted based on the preset sample label prediction method according to the decision tree prediction model. The present invention predicts the samples to be predicted based on the preset sample label prediction method based on the decision tree prediction model, and the method includes inputting the samples to be predicted in the first-party decision tree prediction model by the first party of federated modeling, The method also includes inputting samples to be predicted in the decision tree predictio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a federation modeling method and device and a storage medium. The method includes: inputting a first training sample and a second training sample; training the first training sample and the second training sample based on an Xgboost algorithm and an encryption algorithm to obtain a decision tree prediction model; according to the policy tree prediction model, predicting thesample to be predicted based on a preset sample label prediction method. The method predicts to-be-predicted samples based on a preset sample label prediction method according to the decision tree prediction model. The method comprises inputting a to-be-predicted sample into a first-party decision tree prediction model by a first party of federation modeling, and inputting that sample to be predicted in the decision tree prediction model by a first party and a second party of federation modeling, thereby extending the application range of federation modeling.

Description

technical field [0001] The invention relates to the technical field of federated learning, in particular to a federated modeling method, device and storage medium. Background technique [0002] The existing federated modeling methods are generally applied to the overlapping samples of both sides of the federated modeling. The method cannot apply the non-overlapping samples of both sides of the federated modeling for model training or result prediction without revealing the privacy of the samples of both parties, resulting in a limited application range of federated modeling. Contents of the invention [0003] The invention provides a federated modeling method, device and storage medium, aiming at solving the problem that the federated modeling has a small application range. [0004] In order to achieve the above object, the present invention provides a federated modeling method, which includes: [0005] Input the first training sample and the second training sample, the ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 成柯葳刘洋范涛陈天健杨强
Owner WEBANK (CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com