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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Secure shuffling and verifiable poisoning-resistant federated learning framework

Li Gonglia,b
Dong Zhixianga
Liu Denghuia
Zhang Zhea
a. School of Computer & Information Engineering, b. Key Laboratory of Artificial Intelligence & Personalized Learning in Education of Henan Province, Henan Normal University, Xinxiang 453007, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0141

Abstract

To address threats such as model reconstruction and poisoning attacks in federated learning, this work proposed a secure and robust federated learning framework. The framework designs a dual-domain secret sharing security mechanism to ensure the privacy of model parameters. Based on a secure shuffling protocol, a secure median algorithm was developed to solve the parameter leakage problem present in existing median-based computations. Median gradients and Pearson correlation coefficients were used to perform poisoning detection in the ciphertext domain. The framework introduces a verifiable mechanism to detect malicious behavior of auxiliary nodes and to ensure the correctness of the aggregation results. Experimental results show that the proposed framework maintains 90% accuracy even when the poisoning ratio approaches 50%. Compared with existing work, the framework achieves nearly one order of magnitude improvement in speed. Furthermore, when the model dimension reaches 217, the communication cost is reduced by approximately 40%.

Foundation Support

国家自然科学基金项目(62372157)
河南省科技攻关计划项目(232102211057)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0141
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-08-05] Accepted Paper

Cite This Article

李功丽, 董志祥, 刘登辉, 等. 基于安全洗牌的抗投毒攻击可验证联邦学习框架 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0141. (Li Gongli, Dong Zhixiang, Liu Denghui, et al. Secure shuffling and verifiable poisoning-resistant federated learning framework [J]. Application Research of Computers, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0141. )

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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