Model processing method and device, equipment and medium based on blockchain system
A model processing and blockchain technology, applied in the computer field, can solve problems such as poor model generalization performance and inability to reflect the impact of data transitions on the model, achieving obvious efficiency, improving generalization performance and robustness, and improving efficiency. Effect
Active Publication Date: 2022-03-29
TENCENT TECH (SHENZHEN) CO LTD
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However, this training method cannot reflect the impact of data transitions on the model, resulting in poor generalization performance of the final trained model
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[0044] Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all the same embodiments as the present application. Rather, they are merely examples of apparatuses and methods in common with aspects of the application as recited in the appended claims.
[0045] The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices entity.
[0046] The flow charts shown in the drawing...
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The embodiment of the present application discloses a model processing method, device, device, medium, and product based on a blockchain system. The method includes: obtaining the aggregation model of the t-th training stage from the block chain system; training the aggregation model of the t-th training stage according to the sample data of the t+1-th training stage to obtain the target model of the t+1-th training stage ; According to the target model of the t+1 training stage and the aggregation model of the t training stage, the aggregation process is performed to obtain the aggregation model of the t+1 training stage; the aggregation model of the t+1 training stage is processed on the chain, and The sample data of the t+1th training stage and the target model of the t+1th training stage are associated and uploaded to the chain. The technical solution of the embodiment of the present application greatly optimizes the model processing solution, and improves the effect and efficiency of model training.
Description
technical field [0001] The present application relates to the field of computer technology, and specifically relates to a model processing method based on a blockchain system, a model processing device for a blockchain system, electronic equipment, a computer-readable storage medium, and a computer program product. Background technique [0002] In related technologies, each model training is performed on a specific batch of sample data, so as to obtain a model under the corresponding batch of sample data, for example, a model is obtained by training on the first batch of sample data, and the The sub-sample data is trained to obtain a model. However, this training method cannot reflect the impact of data transitions on the model, resulting in poor generalization performance of the final trained model. Contents of the invention [0003] In order to solve the above-mentioned technical problems, the embodiments of the present application provide a model processing method and ...
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IPC IPC(8): G06F21/60G06F21/64G06F16/27
CPCG06F21/604G06F21/64G06F16/27
Inventor 钟子宏
Owner TENCENT TECH (SHENZHEN) CO LTD