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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Efficient and secure adaptive quantization federated learning in AIoT

Ma Haiyinga
Shen Jinyua
Yang Tianlinga
Qiu Jiana
Wang Zhanjunb
a. School of Artificial Intelligence & Computer Science, b. School of Mathematics & Statistics, Nantong University, Nantong Jiangsu 226019, China
DOI: 10.19734/j.issn.1001-3695.2024.11.0504

Abstract

For the problem of participants' private leakage on the model parameters in the existing adaptive quantization federated learning schemes, this paper proposed an efficient and secure adaptive quantization federated learning scheme suitable for Artificial Intelligence of Things. This scheme utilized adaptive quantization technology to reduce the communication overhead for participants. A secure aggregation protocol was constructed in two aggregation servers to protect the privacy of local model parameters by combining the Diffie-Hellman key exchange protocol, secret sharing schemes, and oblivious transfer protocols. Our scheme was proved to be secure under reasonable assumptions. The experimental results showed that the scheme can not only achieve a global model with high accuracy, but also can significantly reduce communication overhead and computation costs for protecting participants’ privacy. This scheme is suitable for resource-constrained, such as lightweight IoT devices in Artificial Intelligence of Things.

Foundation Support

南通市自然科学基金面上项目(JC2023069)
南通大学信息科学技术学院研究生科研与实践创新计划项目(NTUSISTPR24_07)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0504
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-03-20] Accepted Paper

Cite This Article

马海英, 沈金宇, 杨天玲, 等. 智能物联网中高效安全的自适应量化联邦学习 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0504. (Ma Haiying, Shen Jinyu, Yang Tianling, et al. Efficient and secure adaptive quantization federated learning in AIoT [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2024.11.0504. )

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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