Federation model method and device and storage medium

A modeling method and federated technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem of small application scope of federated modeling, and achieve the effect of expanding the scope of application

Active Publication Date: 2018-12-14
WEBANK (CHINA)
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Problems solved by technology

[0003] The present invention provides a federated modeling method, device and storage med

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  • Federation model method and device and storage medium
  • Federation model method and device and storage medium
  • Federation model method and device and storage medium

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Embodiment Construction

[0045] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0046] The main solution of the embodiment of the present invention is: input the first training sample and the second training sample; train the first training sample and the second training sample based on Xgboost algorithm and encryption algorithm to obtain a decision tree prediction model; Predict the samples to be predicted based on the preset sample label prediction method according to the decision tree prediction model. The present invention predicts the samples to be predicted based on the preset sample label prediction method based on the decision tree prediction model, and the method includes inputting the samples to be predicted in the first-party decision tree prediction model by the first party of federated modeling, The method also includes inputting samples to be predicted in the decision tree predictio...

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Abstract

The invention discloses a federation modeling method and device and a storage medium. The method includes: inputting a first training sample and a second training sample; training the first training sample and the second training sample based on an Xgboost algorithm and an encryption algorithm to obtain a decision tree prediction model; according to the policy tree prediction model, predicting thesample to be predicted based on a preset sample label prediction method. The method predicts to-be-predicted samples based on a preset sample label prediction method according to the decision tree prediction model. The method comprises inputting a to-be-predicted sample into a first-party decision tree prediction model by a first party of federation modeling, and inputting that sample to be predicted in the decision tree prediction model by a first party and a second party of federation modeling, thereby extending the application range of federation modeling.

Description

technical field [0001] The invention relates to the technical field of federated learning, in particular to a federated modeling method, device and storage medium. Background technique [0002] The existing federated modeling methods are generally applied to the overlapping samples of both sides of the federated modeling. The method cannot apply the non-overlapping samples of both sides of the federated modeling for model training or result prediction without revealing the privacy of the samples of both parties, resulting in a limited application range of federated modeling. Contents of the invention [0003] The invention provides a federated modeling method, device and storage medium, aiming at solving the problem that the federated modeling has a small application range. [0004] In order to achieve the above object, the present invention provides a federated modeling method, which includes: [0005] Input the first training sample and the second training sample, the ...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 成柯葳刘洋范涛陈天健杨强
Owner WEBANK (CHINA)
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