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Federal training system, method and device of model for protecting user identification

A user identification and model technology, applied in the field of model training, can solve problems such as user information leakage

Active Publication Date: 2021-09-10
深圳市洞见智慧科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Then there may be a risk of user information being leaked

Method used

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  • Federal training system, method and device of model for protecting user identification
  • Federal training system, method and device of model for protecting user identification
  • Federal training system, method and device of model for protecting user identification

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Embodiment approach

[0169] As an implementation manner of the embodiment of the present invention, the above method may also include:

[0170] After receiving the stop training instruction, stop the training.

[0171] Wherein, the stop training instruction is sent to the first training device when the supervisory device determines that the model is converged.

[0172] Corresponding to the above-mentioned federated training method for a model that protects user IDs, an embodiment of the present invention also provides a federated training device for a model that protects user IDs. The federated training for a model that protects user IDs provided by an embodiment of the present invention is described below The device is introduced.

[0173] Such as Figure 5 As shown, a federated training device for protecting a model identified by a user is applied to a first training device in a federated training system for a model protected by a user identified, and the system also includes a second training...

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Abstract

The embodiment of the invention provides a federal training system, method and device of a model for protecting user identification, the system comprises a first training device, a second training device and a supervision device; the first training device obtains a first user information sample and sends the number of real samples to the supervision device; the first user information sample comprises a real sample and a confusion sample; a corresponding value of the confusion sample in the encryption forward gradient is set as 0 to obtain an adjusted encryption forward gradient; the second training device calculates a second sample gradient according to the adjusted encryption forward gradient; the supervision device calculates and obtains a first adjustment gradient and a second adjustment gradient based on the number of the real samples; the first model parameter is adjusted according to the first adjustment gradient; and the second model parameter is adjusted according to the second adjustment gradient. The confusion sample is added into the real sample, the value of the confusion sample in the encryption forward gradient is set to be 0, and the purpose of improving the user information security while the model training effect is not affected is achieved.

Description

technical field [0001] The invention relates to the technical field of model training, in particular to a federated training system, method and device for protecting user-identified models. Background technique [0002] The federated training of the model is a model training method in which two data providers use their own data to jointly train the model, and it is widely used. For example, federated training of models in financial institutions such as banks and insurance and external data partners. [0003] In the federated training process of the model, firstly, the two data providers need to align samples according to the sample identification, and then carry out model training based on the aligned samples. The existing method is that the model training initiator and the external data partner use the Private Set Intersection technology to align the sample identification, and then realize the alignment of the sample. In this way, the external data partner will obtain the ...

Claims

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Application Information

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IPC IPC(8): G06F21/60G06N20/20
CPCG06F21/602G06N20/20
Inventor 赵迪王湾湾何浩姚明
Owner 深圳市洞见智慧科技有限公司