A method and apparatus for training a model

A technology for training models and algorithms, applied in the field of training models, which can solve problems such as high cost and waste of resources

Inactive Publication Date: 2019-03-29
UNION MOBILE PAY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The embodiment of the present application provides a method for training a model, which is used to solve the technical problems of high cost and waste of resources caused by using existing technologies to construct exclusive machine learning algorithm cluster training model parameters

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  • A method and apparatus for training a model
  • A method and apparatus for training a model
  • A method and apparatus for training a model

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Embodiment Construction

[0039]In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0040] figure 1 It is a schematic diagram of a system architecture applicable to the embodiment of this application, such as figure 1 As shown, the system architecture can include one or more computing nodes in the blockchain network (such as figure 1 Compute node 101 , compute node 102 , compute node 103 , and compute node 104 ) and client device 200 are illustrated. Among them, one or more computing nodes in the blockchain network can jointly maintain the blockchain...

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Abstract

A method and apparatus for training a model are disclosed in embodiment of that present application. The method comprises the following steps: determining M computing nodes of the first data subset from the block chain system, wherein the client device can select K computing nodes from the M computing nodes for model training and obtain the training results of P computing nodes from the K computing nodes; Further, the client device may obtain the model parameters according to the training results of each data subset in the Y data subsets. In the embodiment of the present application, by adopting the training model of the computing node in the block chain system, it is unnecessary to construct a dedicated machine learning algorithm group, thereby saving the cost and reducing the waste of the social resources; Furthermore, the training efficiency of the model can be improved by selecting the computing nodes with strong storage and processing ability in the block chain system, and then the better training effect can be obtained.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a method and device for training a model. Background technique [0002] At this stage, with the in-depth development of artificial intelligence technology, the use of machine learning methods to train models has gradually become a popular research direction in the field of algorithm development. Specifically, developers can usually develop an algorithm that can be used to train the model on the client device, and use the data set for training the model obtained by the client device and the algorithm used to train the model to perform model training to obtain model parameters . However, this method depends on the processing performance of the client device. For more complex algorithms or data with a relatively large amount of processing, if the processing performance of the client device is not enough, the running time of the algorithm may be longer, resulti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N99/00
CPCG06F18/214
Inventor 张惠亮刘胜吴锋海
Owner UNION MOBILE PAY
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