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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Survey on federated learning-based communication technologies for space-air-ground integrated networks

Jin Yadong1,2,3
Fan Jing1,2,3
Xi Enkang1,2,3
Dong Hua1,2,3
Yu Hao1,2,3
1. College of Electrical & Information Technology, Yunnan Minzu University, Kunming 650500, China
2. Yunnan Key Laboratory of Unmanned Autonomous Systems, Kunming 650500, China
3. Yunnan University Key Laboratory of Information & Communication Security & Disaster Preparedness, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0093

Abstract

The Space-Air-Ground Integrated Network (SAGIN) is a heterogeneous architecture for next-generation mobile communication systems. Federated Learning (FL) , as a secure distributed machine learning paradigm, enhances communication performance while preserving privacy, making it a critical technology for future mobile networks. The integration of FL into SAGIN-enabled communication collaboration represents a mainstream trend in the evolution of mobile communication systems. This paper first introduces the concepts, applications, and challenges of FL and SAGIN. Then, focusing on FL-driven communication mechanisms, key technologies for intra-layer and cross-layer communication in SAGIN scenarios are analyzed, including resource allocation, network orchestration, network slicing, heterogeneous networking, mobile edge computing, and cloud-edge-device integration. Finally, future research directions for FL-based SAGIN communication technologies are discussed, encompassing quantum communication, 6G communication, and green communication.

Foundation Support

国家自然科学基金资助项目(12361104)
教育部-新一代信息技术创新项目(2023IT077)
云南省教育厅科学研究基金资助项目(2025Y0670)
云南省吴中海专家工作站(202305AF150045)
云南省教育厅科学研究基金资助项目(2023Y0499)
CCF-深信服"远望"科研基金资助项目(20240210)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0093
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-03] Accepted Paper

Cite This Article

金亚东, 范菁, 郗恩康, 等. 基于联邦学习的空天地一体化通信技术研究综述 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0093. (Jin Yadong, Fan Jing, Xi Enkang, et al. Survey on federated learning-based communication technologies for space-air-ground integrated networks [J]. Application Research of Computers, 2025, 42 (11). (2025-07-08). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0093. )

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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  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
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