Time delay data adjustment method and device, electronic equipment and storage medium

An adjustment method and time delay technology, applied in the field of data processing, can solve the problems of low training efficiency of data aggregation model, and achieve the effect of flexibly adapting to changes in network state, solving low training efficiency and improving training efficiency.

CN112994981BActive Publication Date: 2022-05-10SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-05-10

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Abstract

The present application provides a delay data adjustment method and device, electronic equipment and a storage medium, wherein the method includes: acquiring multiple network delays corresponding to training parameters of multiple participants within a first preset time , where the training parameter is the parameter of the training data aggregation model of the participant; if there is a first difference greater than the first delay threshold among the multiple differences, determine the number of participants to be iterated corresponding to the network delay The number of times, wherein, each of the multiple differences is the difference between two network delays in multiple network delays; according to the number of iterations to be performed, determine the number of times for multiple participants to transmit training parameters to the data aggregation model Latency time. Through the present application, the problem of low training efficiency of the federated learning data aggregation model existing in the related art is solved.
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Description

technical field

[0001] The present application relates to the field of data processing, and in particular to a method and device for adjusting delay data, electronic equipment and a storage medium. Background technique

[0002] The development of artificial intelligence relies on a large amount of high-quality data. In enterprises, except for a few large-scale enterprises with large amounts of data, more small and medium-sized enterprises have insufficient data volume and poor data quality, which are not enough to support the development of artificial intelligence technology. development and implementation. In order to seek greater benefits, multiple companies or institutions will integrate multi-party data in the form of data trading or cooperation, so as to train artificial intelligence models with better effects.

[0003] However, due to the proposal of various data security bills, these small and medium-sized enterprises cannot directly seek cooperation with the outside...

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Embodiment Construction

[0018] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0019] It should be noted that the terms "first" and "second" in the specification and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such ...