Federated learning incentive method, device and equipment based on block chain and storage medium

An incentive device and blockchain technology, applied in the field of artificial intelligence, can solve the problems of limited optimization of the federated model and limited promotion of the federated learning framework, and achieve the effect of optimizing the federated model with accuracy or reliability

Pending Publication Date: 2020-11-20
BANK OF CHINA
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AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a block chain-based federated learning incentive method to solve the technical problems in the prior art that the optimization of the federated model is limited and the promotion of the federated learning framework is limited

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  • Federated learning incentive method, device and equipment based on block chain and storage medium
  • Federated learning incentive method, device and equipment based on block chain and storage medium

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Embodiment Construction

[0026] For purposes of this invention, the technical solution and merits thereof more apparent in the following with embodiments and the drawings, the present invention is described in further detail. Here, exemplary embodiments of the present invention are used to explain the present invention but are not intended to limit the present invention.

[0027] In an embodiment of the present invention, there is provided a driving method of learning Federation block based chain, such as figure 1 As shown, the method includes:

[0028] Step 102: acquiring the respective local data model and the local participants, the individual is a local model of the participants based on their local data obtained by training;

[0029] Step 104: the local training data for all participants based on Federal learning framework, federal model;

[0030] Step 106: calculate the performance index of each of the local model, the performance index is calculated Federation model;

[0031] Step 108: For each par...

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Abstract

The embodiment of the invention provides a federated learning incentive method, device and equipment based on a block chain and a storage medium, and the method comprises the steps: obtaining the local data and local model of each participant; training local data of all participants based on a federation learning framework to obtain a federation model; respectively calculating the performance index of each local model, and calculating the performance index of the federated model; for each participant, calculating the data contribution degree of the local data of the participant to the federated learning framework according to the performance index of the local model of the participant and the performance index of the federated model; and according to the data contribution degree of each participant, allocating an excitation value to each participant, and storing related data on the block chain. According to the scheme, participants are promoted to more actively provide data for federated learning, optimization of a federated model is facilitated, popularization of a federated learning framework is facilitated, and the method has accuracy and reliability.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence technology, particularly to study the Federal excitation method, apparatus, device, and a storage medium based on the block chain. Background technique [0002] Currently, the federal framework is a distributed learning artificial intelligence model training framework that allows multiple participants to continue learning machine under the premise of legal compliance requirements to protect data privacy, meet to address data silos, silos for different companies data, provides a good value of data mining platform, the federal model can be obtained by federal learning than any single company alone model the effect of their training data better. [0003] However, there is no active participants in the creation of power usage data, is not conducive to optimizing the federal model, is not conducive to the sustainable development of the federal framework for learning, learning is not conducive ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06F21/64
CPCG06N20/00G06F21/64
Inventor 李瑞男狄潇然张亚泽
Owner BANK OF CHINA
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