Network model training system, method and device based on parameter sharing and medium

A network model and training system technology, which is applied in the field of network model training system based on parameter sharing, can solve the problems of difficult data exchange and use, unfavorable large-scale application of network models, etc., to facilitate large-scale application and mutual learning, and facilitate data Retrospective processing and the effect of avoiding leakage

Active Publication Date: 2019-05-28
广东速创数据技术有限公司
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Problems solved by technology

In some special fields, the training set and test set involved have certain privacy and confidentiality. For example, the training set and test set used in the medical field are generally hospital patient data, and the training

Method used

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  • Network model training system, method and device based on parameter sharing and medium
  • Network model training system, method and device based on parameter sharing and medium
  • Network model training system, method and device based on parameter sharing and medium

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Embodiment Construction

[0026] This embodiment can be applied to network models such as knowledge graphs and neural networks, and the parameters used to characterize the network models formed during the training and testing process of these network models are called model parameters. Since the training, testing and other similar processes of these network models are similar, the training and testing processes are not distinguished in this embodiment, and the obtained parameters are collectively referred to as model parameters.

[0027] This embodiment includes a network model training system based on parameter sharing, including:

[0028] The first parameter module is used to obtain the first model parameters formed when the first local terminal trains the network model, and synchronize the first model parameters to the block chain;

[0029] The second parameter module is used to obtain the second model parameters requested by the second local terminal from the block chain and synchronize them to the...

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Abstract

The invention discloses a network model training system, method and device based on parameter sharing and a medium. The system comprises a first parameter module and a second parameter module, the first parameter module is used for obtaining a first model parameter formed when a first local end trains a network model and synchronizing the first model parameter to a block chain, the second parameter module is used for obtaining a second model parameter requested by a second local end from the block chain and synchronizing the second model parameter to the second local end, and the second modelparameters are used for the second local end to train the network model. According to the present invention, the model parameters are shared through the block chain, and the large-scale application and the mutual learning of a network model are facilitated. Due to the fact that exchange between the network model training set and the test set does not need to be carried out between the local ends,leakage of sensitive data is avoided on the basis of efficient propagation of network model parameters. The method, the system, the device and the medium are widely applied to the technical field of artificial intelligence.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a network model training system, method, device and medium based on parameter sharing. Background technique [0002] Network models such as knowledge graphs and neural networks are important artificial intelligence tools with a wide range of uses. For example, knowledge graphs can be used for web search, link prediction, recommendation, and natural language processing. These artificial intelligence tools need to go through steps such as training and testing to have corresponding performance, and the model parameters obtained after training represent the shape of the network model, and the model parameters can be fixed by storage and used for the next use. [0003] According to the principle of the network model, the performance of the network model is related to its model parameters, and the model parameters are determined by the training set and test set used wh...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F21/62
Inventor 朱佳郑泽涛
Owner 广东速创数据技术有限公司
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