计算机应用研究2025，Vol.42Issue(11)：3215-3224,10.DOI:10.19734/j.issn.1001-3695.2025.03.0093
基于联邦学习的空天地一体化通信技术研究综述
Survey on federated learning-based communication technologies for space-air-ground integrated networks
摘要
Abstract
The SAGIN is a heterogeneous architecture for next-generation mobile communication systems.Federated learning,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 repre-sents a mainstream trend in the evolution of mobile communication systems.This paper firstly introduced the concepts,applica-tions,and challenges of FL and SAGIN.Then,focusing on FL-driven communication mechanisms,it analyzed key technologies for intra-layer and cross-layer communication in SAGIN scenarios,including resource allocation,network orchestration,network slicing,heterogeneous networking,mobile edge computing,and cloud-edge-device integration.Finally,it discussed future re-search directions for FL-based SAGIN communication technologies,encompassing quantum communication,6G communication,and green communication.关键词
空天地一体化网络/联邦学习/资源分配/网络切片/移动边缘计算Key words
space-air-ground integrated network(SAGIN)/federated learning(FL)/resource allocation/network slicing/mobile edge computing分类
电子信息工程引用本文复制引用
金亚东,范菁,郗恩康,董华,俞浩..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):3215-3224,10.基金项目
国家自然科学基金资助项目(12361104) （12361104）
教育部-新一代信息技术创新项目(2023IT077) （2023IT077）
云南省教育厅科学研究基金资助项目(2025Y0670) （2025Y0670）
云南省吴中海专家工作站资助项目(202305AF150045) （202305AF150045）
云南省教育厅科学研究基金资助项目(2023Y0499) （2023Y0499）
CCF-深信服"远望"科研基金资助项目(20240210) （20240210）
