FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning

被引:0
|
作者
Park, Chung [1 ]
Choi, Taekyoon [2 ]
Kim, Taesan [3 ]
Cho, Mincheol [3 ]
Hong, Junui [1 ]
Choi, Minsung [3 ]
Choo, Jaegul [4 ]
机构
[1] SK Telecom, KAIST, Korea, Republic of
[2] NAVER, Korea, Republic of
[3] SK Telecom, Korea, Republic of
[4] KAIST, Korea, Republic of
来源
arXiv | 2023年
关键词
Forecasting - Large dataset - Learning systems - Location - Privacy-preserving techniques;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning
    Park, Chung
    Choi, Taekyoon
    Kim, Taesan
    Cho, Mincheol
    Hong, Junui
    Choi, Minsung
    Choo, Jaegul
    GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 2023,
  • [2] FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning (Industrial Paper)
    Park, Chung
    Choi, Taekyoon
    Kim, Taesan
    Cho, Mincheol
    Hong, Junui
    Choi, Minsung
    Choo, Jaegul
    31ST ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, ACM SIGSPATIAL GIS 2023, 2023, : 184 - 193
  • [3] PVFL: Verifiable federated learning and prediction with privacy-preserving
    Yin, Benxin
    Zhang, Hanlin
    Lin, Jie
    Kong, Fanyu
    Yu, Leyun
    COMPUTERS & SECURITY, 2024, 139
  • [4] Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
    Liu, Yi
    Yu, James J. Q.
    Kang, Jiawen
    Niyato, Dusit
    Zhang, Shuyu
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (08) : 7751 - 7763
  • [5] Privacy-Preserving Personalized Federated Learning
    Hu, Rui
    Guo, Yuanxiong
    Li, Hongning
    Pei, Qingqi
    Gong, Yanmin
    ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
  • [6] Frameworks for Privacy-Preserving Federated Learning
    Phong, Le Trieu
    Phuong, Tran Thi
    Wang, Lihua
    Ozawa, Seiichi
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2024, E107D (01) : 2 - 12
  • [7] Adaptive privacy-preserving federated learning
    Liu, Xiaoyuan
    Li, Hongwei
    Xu, Guowen
    Lu, Rongxing
    He, Miao
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2020, 13 (06) : 2356 - 2366
  • [8] Privacy-preserving Techniques in Federated Learning
    Liu Y.-X.
    Chen H.
    Liu Y.-H.
    Li C.-P.
    Ruan Jian Xue Bao/Journal of Software, 2022, 33 (03): : 1057 - 1092
  • [9] Adaptive privacy-preserving federated learning
    Xiaoyuan Liu
    Hongwei Li
    Guowen Xu
    Rongxing Lu
    Miao He
    Peer-to-Peer Networking and Applications, 2020, 13 : 2356 - 2366
  • [10] Federated learning for privacy-preserving AI
    Cheng, Yong
    Liu, Yang
    Chen, Tianjian
    Yang, Qiang
    COMMUNICATIONS OF THE ACM, 2020, 63 (12) : 33 - 36