Technology of Blockchain
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2258-2265

Blockchain-based contribution evaluation scheme for federated learning

Xu Haotong1
Liu Lixin1,2
Wang Jingyu1
Zhang Xiaolin1
Wang Yongping1
1. School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou Inner Mongolia 014017, China
2. School of Information, Renmin University of China, Beijing 100872, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0821

Abstract

In order to achieve a fair distribution of benefits in federated learning, an indicator that quantifies the contribution of each data provider to the global model is critical. Aiming at the problems of privacy leakage, opacity and dependence on central server in existing contribution evaluation schemes, this paper proposed a transparent federated learning contribution evaluation scheme based on blockchain. Firstly, this paper proposed an improved Paillier secure aggregation algorithm, which avoided the inference of user local data in the model aggregation stage by joint decryption. Secondly, this paper proposed a method to approximate the contribution based on the gradient of user cumulative submission, which solved the problem of privacy leakage in the existing contribution evaluation scheme. In addition, it integrated the evaluation of the contribution into the consensus process of the blockchain, making the evaluation results auditable. Finally, experiments based on MNIST dataset show that the proposed method can effectively evaluate the contribution.

Foundation Support

国家自然科学基金资助项目(61662056)
内蒙古自治区自然科学基金资助项目(2019MS06001)
内蒙古高校科学研究项目(NJZY23076)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0821
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Blockchain
Pages: 2258-2265
Serial Number: 1001-3695(2023)08-003-2258-08

Publish History

[2023-03-20] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

徐浩曈, 刘立新, 王静宇, 等. 一种基于区块链的联邦学习贡献评价方案 [J]. 计算机应用研究, 2023, 40 (8): 2258-2265. (Xu Haotong, Liu Lixin, Wang Jingyu, et al. Blockchain-based contribution evaluation scheme for federated learning [J]. Application Research of Computers, 2023, 40 (8): 2258-2265. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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