Federal model cooperative training method and device, computer equipment and storage medium

Abstract

The embodiment of the invention discloses a federal model cooperative training method and device, computer equipment and a storage medium. The method comprises the following steps: constructing a globally shared federal model; issuing the federal model to a plurality of data servers agreeing to participate in model training, so that the data servers train the federal model according to local data to obtain training parameters; judging whether the precision of the federated model meets the requirement or not; if not, acquiring training parameters uploaded by a plurality of data servers; performing aggregation operation on the plurality of training parameters to obtain an operation result; and updating the federal model according to the operation result, and issuing the federal model to a plurality of data servers agreeing to participate in model training, so that the data servers perform training of the federal model according to local data to obtain training parameters. By implementing the method provided by the embodiment of the invention, high stability in the training process can be realized, and the training speed is high.

Description

technical field [0001] The present invention relates to computers, and more specifically refers to a federated model cooperative training method, device, computer equipment and storage medium. Background technique [0002] In real life, except for a few giant companies that can support the realization of artificial intelligence technology, most enterprises have the problem of small amount of data and poor data quality, which is not enough to support the realization of artificial intelligence technology; at the same time, the regulatory environment at home and abroad is gradually strengthening Data protection, related policies have been introduced one after another, and the free flow of data under the premise of security and compliance has become the general trend; from the perspective of users and enterprises, the data owned by commercial companies often has huge potential value. Two companies or even departments between companies must consider the exchange of interests. Oft...

AI Technical Summary

Problems solved by technology

Two companies and even inter-company departments must consider the exchange of interests. Often these institutions will not provide their own data to aggregate with other companies. As a result, even within the same company, data often appears in the form of islands.

Based on the above three points that are not enough to support the realization, that rough exchange is not allowed, and that they are unwilling to contribute value, it has led to a large number of existing data islands and privacy protection issues. Multi-dimensional data cannot be interdependent. Analyze in multiple dimensions

[0003] In order to supplement the subsidy payment from multiple dimensions, the existing technology is to upload the data of multiple institutions to the general server for joint modeling and analysis based on the established model. The connection is unstable, prone to learning timeout and abnormal exit, high instability, and will occupy a large amount of computing resources and time on the total server, and the training rate is low

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