控制理论与应用2024，Vol.41Issue(8)：1351-1360,10.DOI:10.7641/CTA.2023.21068
支持隐私保护的自主无人系统分布式智能运维框架
A distributed intelligent operating framework supporting privacy protection for autonomous unmanned systems
摘要
Abstract
Constructing intelligent operation method is crucial to the autonomy,safety and reliability of autonomous unmanned systems,and is challenged by the issues of distributed operation and privacy protection.Without considering the limitation of computation resources and the requirement of quantitative privacy protection,the existing works can not solve the above issues for autonomous unmanned systems.Therefore,in this paper,a distributed intelligent operating framework supporting privacy protection for autonomous unmanned systems is proposed.The essential idea is combining offline learning and online monitoring to build both local and global operating models,building operation models by federated learning,sharing models based on the blockchain network,and protecting local models by differential privacy techniques,such that the issues caused by the limited computing resource and privacy protection are resolved.The experimental results show that the proposed framework can support the construction of efficient intelligent operation methods for autonomous unmanned systems and the method designed within the framework is effective.关键词
智能运维/自主无人系统/联邦学习/隐私保护/区块链Key words
intelligent operating/autonomous unmanned system/federated learning/privacy protection/blockchain引用本文复制引用
宁宝玲,李文博,毕强..支持隐私保护的自主无人系统分布式智能运维框架[J].控制理论与应用,2024,41(8):1351-1360,10.基金项目
科技部重点研发项目(2021YFB1715000),国家自然科学基金项目(U1811461,62022013,12150007,62103450,61832003,62272137),黑龙江省高校大学专项科研资金项目(2022-KYYWF-1122)资助.Supported by the National Key R&D Program of China(2021YFB1715000),the National Natural Science Foundation of China(U1811461,62022013,12150007,62103450,61832003,62272137)and the Fundamental Research Funds for the Universities of Heilongjiang Province(2022-KYYWF-1122). （2021YFB1715000）
