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    边缘计算下指纹室内定位差分私有联邦学习模型

    张学军 何福存 盖继扬 鲍俊达 黄海燕 杜晓刚

    张学军, 何福存, 盖继扬, 鲍俊达, 黄海燕, 杜晓刚. 边缘计算下指纹室内定位差分私有联邦学习模型[J]. 计算机研究与发展, 2022, 59(12): 2667-2688. doi: 10.7544/issn1000-1239.20210270
    引用本文: 张学军, 何福存, 盖继扬, 鲍俊达, 黄海燕, 杜晓刚. 边缘计算下指纹室内定位差分私有联邦学习模型[J]. 计算机研究与发展, 2022, 59(12): 2667-2688. doi: 10.7544/issn1000-1239.20210270
    Zhang Xuejun, He Fucun, Gai Jiyang, Bao Junda, Huang Haiyan, Du Xiaogang. A Differentially Private Federated Learning Model for Fingerprinting Indoor Localization in Edge Computing[J]. Journal of Computer Research and Development, 2022, 59(12): 2667-2688. doi: 10.7544/issn1000-1239.20210270
    Citation: Zhang Xuejun, He Fucun, Gai Jiyang, Bao Junda, Huang Haiyan, Du Xiaogang. A Differentially Private Federated Learning Model for Fingerprinting Indoor Localization in Edge Computing[J]. Journal of Computer Research and Development, 2022, 59(12): 2667-2688. doi: 10.7544/issn1000-1239.20210270

     

                     

                  

                         

                     

                        

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