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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Review of research on heterogeneous federated learning in unmanned systems

Yu Hao1,2
Fan Jing1,2
Sun Yihang1,2
1. College of Electrical & Information Technology, Yunnan Minzu University, Kunming 650000, China
2. Yunnan Key Laboratory of Unmanned Autonomous System, Kunming Yunan 650500, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0256

Abstract

Heterogeneous Federated Learning (HFL) is a distributed machine learning approach designed to address the challenges of data and device heterogeneity, applicable to various domains, including unmanned systems. As unmanned systems (e. g. , drones and autonomous vehicles) continue to evolve, efficiently handling non-independent and identically distributed (Non-IID) data and the computational differences between devices has become a critical challenge for improving the performance and efficiency of federated learning. This paper reviews recent advances in HFL within unmanned systems, focusing on the challenges posed by data, device, and model heterogeneity, and summarizes existing solutions, such as hierarchical federated learning, model compression, and pruning techniques. The paper also discusses practical applications of these techniques, evaluates their strengths and limitations, and proposes future research directions to further enhance the performance of federated learning in unmanned systems and improve data privacy protection.

Foundation Support

国家自然科学基金资助项目(61540063)
教育部人文社会科学研究青年基金资助项目(20YJCZH129)
云南省吴中海专家工作站项目(202305AF150045)
云南省教育厅科学研究基金资助项目(2023Y0499)
云南民族大学硕士研究生科研创新基金资助项目(2022SKY004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0256
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-10] Accepted Paper

Cite This Article

俞浩, 范菁, 孙伊航. 异构联邦学习在无人系统中的研究综述 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0256. (Yu Hao, Fan Jing, Sun Yihang. Review of research on heterogeneous federated learning in unmanned systems [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0256. )

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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