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

Data contribution determination method and device based on transverse joint learning participants

A technology of horizontal integration and deterministic methods, applied in the computer field, can solve problems such as the lack of help in building models, and achieve the effect of improving user experience and improving accuracy

Pending Publication Date: 2022-07-19
ENNEW DIGITAL TECH CO LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is not enough to measure the contribution of various actors by looking at the amount of data, because a single actor may provide a large amount of data, which is not very helpful for building a model

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
  • Data contribution determination method and device based on transverse joint learning participants
  • Data contribution determination method and device based on transverse joint learning participants
  • Data contribution determination method and device based on transverse joint learning participants

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The disclosed embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments disclosed in the present invention are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.

[0016] In addition, it should be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. The embodiments of the present disclosure and the features of the embodiments may be combined with each other without conflict.

[0017] I...

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 embodiment of the invention discloses a data contribution determination method and device based on transverse joint learning participants. The method comprises the following steps: acquiring a data set of a participant; training an initial model by using the data set to obtain a training model; obtaining a test data set of the training model based on transverse joint learning; and determining the contribution of the participant based on the test data set. According to the embodiment, the influence of the participant on the model is calculated by performing data removal on the data set, and then the contribution of the participant is determined, so that the participant can be stimulated to provide high-quality data, the precision of training the model is indirectly improved, and the user experience is improved.

Description

technical field [0001] The embodiments disclosed in the present invention relate to the field of computer technology, and in particular, to a method and apparatus for determining data contribution force based on horizontal joint learning participants. Background technique [0002] For the federated learning ecosystem to work, we need to encourage the different parties to contribute their data and join collaborative consortia. Fairly measuring the contributions of all parties in federated learning is critical to the incentives of current and potential participants in federated learning. The amount of data alone is not enough to measure the contributions of the various parties, as a single party may provide a large amount of data that is not very helpful in building a model. We need a way to fairly measure overall data quality to determine contributions. SUMMARY OF THE INVENTION [0003] This section of the present disclosure serves to introduce concepts in a simplified fo...

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): G06N20/00G06N3/08
CPCG06N20/00G06N3/08
Inventor 刘国柄刘嘉
Owner ENNEW DIGITAL TECH CO LTD