Data processing method, device, system and server
A data processing system and server technology, applied in the Internet field, can solve problems such as inability to determine data quality, inability to safely train prediction models, inability to determine C shopping sites, etc., to improve security and trust, avoid processing time, and accurately high degree of effect
Active Publication Date: 2021-06-04
CCB FINTECH CO LTD
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However, Bank A is unable to determine whether the data provided by C shopping website when participating in the joint training is the previously agreed high-quality data; nor can it determine whether C shopping website has carried out some risky behaviors when participating in the joint training, etc. , resulting in the inability to safely train a better predictive model
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[0104] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.
[0105] Considering the existing data processing methods, when a data party wants to initiate a model training request for a joint training target model, the data party often cannot accurately and effectively measure the data sources owned by other data parties. The value of the data, and it is impossible to quantitatively determine how much the marginal predict...
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This specification provides a data processing method, device, system and server. Based on this method, after the first terminal device initiates a model training request, it first obtains and accurately screens out the owned data according to the inspection results of the marginal prediction effect of the target model training by the data source owned by the pending terminal device in the system. The second terminal device of the second data source with higher value and better effect; before the joint training, the first terminal device and the second terminal device can respectively upload the data proof of the data source they own to the blockchain for further training. Deposit evidence; in the process of the first terminal device performing joint training locally based on the first data source according to the matching joint training rules, and the second terminal device locally based on the second data source, the above joint training process The associated data is uploaded to the blockchain for certificate storage, so that joint training can be safely carried out, and a target model with better effect and higher accuracy can be obtained.
Description
technical field [0001] This specification belongs to the technical field of the Internet, and in particular relates to a data processing method, device, system and server. Background technique [0002] In some business scenarios, different data parties often have different data sources. Sometimes it is necessary to use the data sources owned by different data parties at the same time, and build the required target model through joint training (for example, federated learning) without disclosing the data owned by the other party. [0003] For example, in the financial business scenario, bank A has the loan data of the banking platform of the residents of city B, and the shopping website C has the loan data of the network platform of the residents of city B. At present, Bank A hopes to train a prediction model that can comprehensively and accurately predict the loan credit risk of residents in City B. [0004] In view of the above scenario, Bank A hopes to cooperate with sho...
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IPC IPC(8): G06K9/62G06F16/27G06F21/62G06F21/64
CPCG06F21/6218G06F21/64G06F16/27G06F18/214
Inventor 王雪霍昱光李武璐权纯赵亮孙昊刘春伟冯昊皓
Owner CCB FINTECH CO LTD