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A method and system for model training based on private data

A technology for private data and model training, applied in digital data protection, electrical digital data processing, instruments, etc.

Active Publication Date: 2021-08-03
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of multi-party data cooperation, issues such as data security and model security are involved

Method used

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  • A method and system for model training based on private data
  • A method and system for model training based on private data
  • A method and system for model training based on private data

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Embodiment Construction

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. Unless otherwise apparent from context or otherwise indicated, like reference numerals in the figures represent like structures or operations.

[0015] It should be understood that "system", "device", "unit" and / or "module" used in this specification is a method for distinguishing different components, elements, parts, parts or assemblies of different levels. However, the words may be replaced by other expressions if other words can achieve the same purpose.

[0016] As indicated in the specification and claims, the terms "a", "an", "a...

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Abstract

One or more embodiments of this specification relate to a method and system for model training based on private data. The method includes: the second terminal receives the encrypted first private data from the first terminal; and calculates it with the encrypted data of the second private data of the second terminal to obtain an encrypted result; the second terminal Based on the encrypted result and the sample label, the encryption loss value of the model based on the joint training of the first privacy data and the second privacy data is obtained; the encryption loss value is involved in the encryption model training, and the parameters for completing one pass are obtained. An updated model; wherein, the encryption is homomorphic encryption; the first private data and the second private data correspond to different features and model parameters of the same sample.

Description

technical field [0001] One or more embodiments of this specification relate to multi-party data cooperation, and in particular to a method and system for model training based on private data. Background technique [0002] In data analysis, data mining, economic forecasting and other fields, machine learning models can be used to analyze and discover potential data value. Since the data held by a single data owner may be incomplete, it is difficult to accurately describe the target. In order to obtain better model prediction results, the joint training of the model is carried out through the data cooperation of multiple data owners. has been widely used. However, in the process of multi-party data cooperation, issues such as data security and model security are involved. [0003] Therefore, it is necessary to propose a safe joint modeling scheme based on multi-party data. Contents of the invention [0004] An aspect of the embodiments of this specification provides a met...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62G06F21/60
CPCG06F21/602G06F21/6245
Inventor 陈超超王力周俊
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD