Method for establishing data analysis model

A data analysis and model technology, applied in the field of data analysis and wearable health monitoring, can solve problems such as the inability to realize health monitoring, and achieve the effect of improving recognition accuracy and performance

Inactive Publication Date: 2020-05-22
INST OF COMPUTING TECH CHINESE ACAD OF SCI
View PDF5 Cites 31 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, different users have different physical characteristics and daily behavior patterns, so a common model cannot achieve personal...

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
  • Method for establishing data analysis model
  • Method for establishing data analysis model
  • Method for establishing data analysis model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail through specific embodiments with reference to the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0035] In order to better understand the present invention, first introduce the corresponding background of the technology adopted by the present invention.

[0036] Federal machine learning is a hot field in machine learning in recent years. It was first proposed by Google. They train distributed machine learning models based on mobile phones distributed all over the world. The key idea is to protect user data in the process. After that, some researchers began to pay attention to privacy-preserving machine learning, joint multi-task learning, and personalized federated learning. Fe...

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 provides a method for establishing a data analysis model, and the method comprises the steps: learning and pre-training an initial cloud model at a server side through employing a deep neural network based on the current user data, and transmitting the initial cloud model to different users; the user constructs a user model of the user based on the received cloud model according to the data characteristics of the user, learns and trains the user model by adopting a deep neural network, and returns the trained user model to the server; the server fuses the received user model based on a preset period to obtain a new cloud model; and the user adjusts the own user model based on the received new cloud model, learns and trains by adopting the deep neural network at the same time,and returns the trained user model to the server. According to the model framework constructed based on the method, the problems of data islands and individuation can be solved by combining federatedlearning and homomorphic encryption technologies, a powerful machine learning model is constructed by summarizing data from different organizations, and the privacy of the user can also be protected.

Description

Technical field [0001] The present invention relates to the field of data analysis, in particular to the field of wearable health monitoring, specifically, to a method for establishing data sharing models for different users, and more specifically, to a method for establishing data analysis models. Background technique [0002] In recent years, with the rapid development of computing technology, wearable technology based on wearable devices such as smart phones, wristbands and smart glasses can help people better understand their health. Daily behavioral activities are closely related to people's health and may be an early signal of certain cognitive diseases. For example, changes in gait may lead to small vessel disease or stroke. Research has found that by monitoring user activities by wearing sensors, daily behaviors can be identified. These wearable devices can easily access people's health information, including behavior, sleep, exercise, etc. Existing studies have shown ...

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): G06F3/01G16H80/00G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06F3/011G16H80/00G06N3/08G06N20/00G06N3/045G06F18/24
Inventor 陈益强于超辉王晋东秦欣
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap