Unlock instant, AI-driven research and patent intelligence for your innovation.

Model Training, Prediction Method and System

A model training and model technology, applied in the information field

Active Publication Date: 2022-03-22
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the sample data owned by different companies or institutions contains a lot of user privacy and even commercial secrets. Once the sample data is leaked, it will lead to a series of negative effects

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
  • Model Training, Prediction Method and System
  • Model Training, Prediction Method and System
  • Model Training, Prediction Method and System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the following briefly introduces the drawings that need to be used in the description of the embodiments. Apparently, the accompanying drawings in the following description are only some examples or embodiments of this specification, and those skilled in the art can also apply this specification to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.

[0031]It should be understood that "system", "device", "unit" and / or "module" as used herein is a method for distinguishing different components, elements, components, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

[0032] As indicated in the specification and claims, the terms "a", "an", "an" and / or "the"...

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 embodiments in this specification provide model training, prediction methods and systems thereof. The model is divided into a local model and a central node model, each training node trains a local model with the same structure, and the central node trains a central node model. During the training process, each training node splits the eigenvalues ​​of the training samples to obtain eigenvalue slices, exchanges eigenvalue slices with each other, and calculates the first value of the local model through the secret sharing algorithm based on the exchange results and the first model parameters of the local model. Output fragments, sending the first output fragments to the central node. The central node calculates the first input based on the first output slice of each training node corresponding to the same sample ID, trains the central node model based on the first input and sample label corresponding to the same sample ID, and feeds back the input layer of the central node model to each training node target gradient. Each training node updates local model parameters based on the target gradient. In this way, data privacy can be protected.

Description

technical field [0001] The embodiments of this specification relate to the field of information technology, and in particular to model training, prediction methods and systems thereof. Background technique [0002] With the development of artificial intelligence technology, machine learning models have been gradually applied in risk assessment, speech recognition, natural language processing and other fields. In fields such as medical care and finance, different companies or institutions have different sample data. If these sample data are jointly trained, the accuracy of the model can be effectively improved, and huge economic benefits can be brought to the company. However, the sample data owned by different companies or institutions contains a lot of user privacy and even commercial secrets. Once the sample data is leaked, it will lead to a series of negative effects. [0003] Therefore, it is currently desirable to provide a joint training scheme that can effectively pr...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00G06N3/08
CPCG06N20/00G06N3/08
Inventor 郑龙飞陈超超王力周俊
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com