Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory

被引：0
|
作者：
Masuyama, Naoki [1 ]
Nojima, Yusuke [1 ]
Toda, Yuichiro [2 ]
Loo, Chu Kiong [3 ]
Ishibuchi, Hisao [4 ]
Kubota, Naoyuki [5 ]
机构：
[1] Osaka Metropolitan University, Graduate School of Informatics, Department of Core Informatics, Sakai, Osaka,599-8531, Japan
[2] Okayama University, Faculty of Environmental, Life, Natural Science and Technology, Okayama,700-8530, Japan
[3] Universiti Malaya, Faculty of Computer Science and Information Technology, Department of Artificial Intelligence, Kuala Lumpur,50603, Malaysia
[4] Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen,518055, China
[5] Tokyo Metropolitan University, Graduate School of Systems Design, Department of Mechanical Systems Engineering, Asahigaoka, Hino, Tokyo,191-0065, Japan
来源：
IEEE Access | 2024年 / 12卷
关键词：
Compendex;
D O I：
10.1109/ACCESS.2024.3467114
中图分类号：
学科分类号：
摘要：
Federated learning
引用
收藏
页码：139692 / 139710
相关论文
共 50 条
  • [1] 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
  • [2] 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
  • [3] Privacy-preserving patient clustering for personalized federated learning
    Elhussein, Ahmed
    Gursoy, Gamze
    MACHINE LEARNING FOR HEALTHCARE CONFERENCE, VOL 219, 2023, 219
  • [4] Privacy-Preserving Federated Learning via Disentanglement
    Zhou, Wenjie
    Li, Piji
    Han, Zhaoyang
    Lu, Xiaozhen
    Li, Juan
    Ren, Zhaochun
    Liu, Zhe
    PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 3606 - 3615
  • [5] An Adaptive Gradient Privacy-Preserving Algorithm for Federated XGBoost
    Cai, Hongyi
    Cai, Jianping
    Sun, Lan
    2023 2ND ASIA CONFERENCE ON ALGORITHMS, COMPUTING AND MACHINE LEARNING, CACML 2023, 2023, : 277 - 282
  • [6] Privacy-Preserving Federated Learning for Industrial Edge Computing via Hybrid Differential Privacy and Adaptive Compression
    Jiang, Bin
    Li, Jianqiang
    Wang, Huihui
    Song, Houbing
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (02) : 1136 - 1144
  • [7] Privacy-preserving clustering federated learning for non-IID data
    Luo, Guixun
    Chen, Naiyue
    He, Jiahuan
    Jin, Bingwei
    Zhang, Zhiyuan
    Li, Yidong
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 154 : 384 - 395
  • [8] Privacy-Preserving Federated Learning via Functional Encryption, Revisited
    Chang, Yansong
    Zhang, Kai
    Gong, Junqing
    Qian, Haifeng
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18 : 1855 - 1869
  • [9] Privacy-preserving quantum federated learning via gradient hiding
    Li, Changhao
    Kumar, Niraj
    Song, Zhixin
    Chakrabarti, Shouvanik
    Pistoia, Marco
    QUANTUM SCIENCE AND TECHNOLOGY, 2024, 9 (03):
  • [10] Privacy-Preserving Federated Data Sharing
    Fioretto, Ferdinando
    Van Hentenryck, Pascal
    AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2019, : 638 - 646
12345