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Trusted federated learning method, system and device based on block chain and medium

A learning method and blockchain technology, applied in the field of trusted federated learning, can solve problems such as low security, destruction of model privacy data, unfair system, etc., and achieve the effect of improving security

Active Publication Date: 2020-11-20
SOUTH CHINA NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, centralized servers can make the whole system unfair by making the whole system modeled by favoring certain participating devices
In addition, some malicious central servers may destroy models and even collect private data in device updates, which is not very secure

Method used

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  • Trusted federated learning method, system and device based on block chain and medium
  • Trusted federated learning method, system and device based on block chain and medium
  • Trusted federated learning method, system and device based on block chain and medium

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Embodiment Construction

[0054] The present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments of the description. For the step numbers in the embodiment of the present invention, it is only set for the convenience of explanation and description, and there is no limitation on the order of the steps. The execution order of each step in the embodiment can be carried out according to the understanding of those skilled in the art Adaptive adjustment.

[0055] Aiming at the problems existing in the prior art, the present invention provides a blockchain-based architecture to realize reliable federated learning. Such as figure 1 As shown, in this architecture, the bottom layer uses blockchain technology to store the global model and supports a series of operations such as model update on the chain, and the upper layer consists of mobile device workers to form a federated learning ecosystem. Different from traditional federated lear...

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Abstract

The invention discloses a trusted federation learning method, system and device based on a block chain and a medium, and the method comprises the steps: selecting a client node from the block chain toform an initial committee, and determining an initial shared global model; training the initial shared global model through each client node in a block chain to obtain local model updating information of each client node; generating a target global model by the initial committee according to the local model updating information of each client node; and determining a target committee through the dynamic multi-weight reputation model, and starting a new round of training until a target global model meeting convergence requirements is obtained. According to the invention, the central server is removed by using the blockchain technology, so that the distributed client nodes are stored dispersedly, the security of private data is improved, and the method, system and device can be widely applied to the technical field of blockchains.

Description

technical field [0001] The present invention relates to the technical field of blockchain, in particular to a trusted federated learning method, system, device and medium based on blockchain. Background technique [0002] With the rapid development of artificial intelligence (AI), various mobile phone applications have brought excellent customer experience to mobile users. However, most AI technologies require a large amount of user data and personal privacy information for model training on a central server, resulting in too much calculation that is not suitable for mobile devices. In addition, mobile devices also face serious risks of privacy leakage. [0003] Google first proposed federated learning to solve the privacy problem under collaborative computing. Traditional federated learning consists of participating devices and a central server. Participating devices do not upload private data but only iteratively send local model updates to the central server. The centra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/23G06F16/27G06F21/62G06N20/20
CPCG06F16/2379G06F16/27G06F21/6263G06N20/20Y02D10/00
Inventor 朱佳马晓东黄晋
Owner SOUTH CHINA NORMAL UNIVERSITY
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