Service data processing method and device, electronic equipment and storage medium

Abstract

The invention provides a service data processing method and device, electronic equipment and a storage medium, and the method comprises the steps of determining a virtual sample matched with first service party equipment according to a first sample set; determining a sample set intersection; determining a first key set matched with the first service party equipment and a second key set matched with second service party equipment; performing virtual sample deletion processing on the sample set intersection by using a small-batch gradient descent algorithm to obtain a training sample matched with a service data processing system; and training a federated model corresponding to the service data processing system based on the training sample matched with the service data processing system, and determining federated model parameters, thereby reducing the calculation cost, improving the service data processing efficiency, realizing the processing of service data in mobile party equipment, saving waiting time of a user, and ensuring that privacy data is not leaked.

Description

technical field [0001] The invention relates to a data processing technology in a cloud network, in particular to a business data processing method, device, electronic equipment and storage medium. Background technique [0002] When different business parties share some business data, it is necessary to ensure safe multi-party computing, that is, multiple parties jointly calculate the result of a function without revealing the input data of all parties to the function, and the calculation result is disclosed to one or more parties. . In related technologies, due to the defects of encrypted transmission, users' private data will often be leaked. At the same time, when faced with a large volume of business data to be processed, the calculation of the power modulus operation in the traditional exchange encryption function structure is complicated. The degree of encryption is high, and the hardware overhead of the encryption process is relatively large, which makes the user's w...

AI Technical Summary

Problems solved by technology

In related technologies, due to the defects of encrypted transmission, users' private data will often be leaked. At the same time, when faced with a large volume of business data to be processed, the calculation of the power modulus operation in the traditional exchange encryption function structure is complicated. The degree of encryption is high, and the hardware overhead of the encryption process is relatively large, which makes the user's waiting time longer and increases the cost of hardware usage, which is not conducive to the realization of business data processing in mobile devices.

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