Technology of Blockchain
|
App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 1
26-31

Blockchain-empowered multiple edge secure federated learning model

Jiang Xiaoyu
Gu Ruichun
Zhang Huan
School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou Nei Mongol 014010, China
DOI: 10.19734/j.issn.1001-3695.2023.05.0208

Abstract

Federated learning is a revolutionary deep learning model, and it enables users to train the global model cooperatively without exposing their private data. However, malicious behaviors of some clients can lead to the risk of single point of failure and privacy disclosure, which pose a serious threat to the security of federated learning. In response to the above issues, based on the existing research, this paper proposed a blockchain empowered multi edge federated learning model. Firstly, this paper proposed to use blockchain instead of central server to enhance the stability and reliability of model training process. Secondly, this paper proposed a consensus mechanism based on edge computing to achieve a more efficient consensus process. In addition, incorporating reputation assessment into the federated learning training process, it could transparently measure the contribution value of each participant and standardize the behavior of work nodes. Finally, comparative experiments show that the scheme can maintain high accuracy in the malicious environment, and can resist higher malicious ratio compared with the traditional federated learning algorithms.

Foundation Support

内蒙古自然科学基金资助项目(2021LHMS06003)
内蒙古高校基本科研业务费资助项目(114)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.05.0208
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 1
Section: Technology of Blockchain
Pages: 26-31
Serial Number: 1001-3695(2024)01-004-0026-06

Publish History

[2023-09-13] Accepted Paper
[2024-01-05] Printed Article

Cite This Article

姜晓宇, 顾瑞春, 张欢. 区块链赋能多边缘安全联邦学习模型 [J]. 计算机应用研究, 2024, 41 (1): 26-31. (Jiang Xiaoyu, Gu Ruichun, Zhang Huan. Blockchain-empowered multiple edge secure federated learning model [J]. Application Research of Computers, 2024, 41 (1): 26-31. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)