Survey
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 11
3220-3231

Survey on federated learning security defense and privacy protection technology

Qiu Xiaohui1,2
Yang Bo1,2
Zhao Mengchen1,2
Hu Shiyang1,2
Sun Pu1,2
1. R&D Center, National FinTech Evaluation Center, Beijing 100070, China
2. Bank Card Test Center, Beijing 100070, China
DOI: 10.19734/j.issn.1001-3695.2022.03.0164

Abstract

On the premise that multiple participants do not transmit data samples, federated learning performs model collaborative training to take advantage of the data value of all parties. However, due to the inherent shortcomings of federated learning and the security issues of data storage and communication, federated learning still faces multiple security and privacy threats in practical application scenarios. This paper summarized the security and privacy attacks faced by federated learning. Then, it summarized the latest security defense mechanisms and privacy protection methods, including poisoning attack defense, backdoor attack defense, free-rider attack defense, sybil attack defense and defense methods based on secure computing and differential privacy. Finally, through a systematic summary of the existing risks and corresponding defense methods of federated learning, this paper looked forward to the future research challenges and development directions of federated learning.

Foundation Support

国家核高基重大专项资助项目
国家发改委资助项目(发改投资(2018)122号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0164
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Survey
Pages: 3220-3231
Serial Number: 1001-3695(2022)11-003-3220-12

Publish History

[2022-06-22] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

邱晓慧, 杨波, 赵孟晨, 等. 联邦学习安全防御与隐私保护技术研究 [J]. 计算机应用研究, 2022, 39 (11): 3220-3231. (Qiu Xiaohui, Yang Bo, Zhao Mengchen, et al. Survey on federated learning security defense and privacy protection technology [J]. Application Research of Computers, 2022, 39 (11): 3220-3231. )

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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