Privacy-Prioritized Model Aggregation in ICPS: A Novel Approach to Federated Learning Aggregation with Lime and Blockchain

被引:0
|
作者
Aflaki, Arshia [1 ]
Karimipour, Hadis [1 ]
Gadekallu, Thippa Reddy [2 ,3 ]
机构
[1] University of Calgary, Department of Electrical and Software Engineering, Calgary,AB,T2N 1N4, Canada
[2] Lovely Professional University, Division of Research and Development, Phagwara,144411, India
[3] Chitkara University, Center of Research Impact and Outcome, Punjab, 140401, India
来源
IEEE Transactions on Industrial Cyber-Physical Systems | 2024年 / 2卷
关键词
D O I
10.1109/TICPS.2024.3419751
中图分类号
学科分类号
摘要
Lime
引用
收藏
页码:370 / 379
相关论文
共 50 条
  • [41] A Blockchain-based federated learning framework for secure aggregation and fair incentives
    Yang, XiaoHui
    Li, TianChang
    CONNECTION SCIENCE, 2024, 36 (01)
  • [42] Secure Data Sharing in Federated Learning through Blockchain-Based Aggregation
    Liu, Bowen
    Tang, Qiang
    FUTURE INTERNET, 2024, 16 (04)
  • [43] A Hierarchical Blockchain-Enabled Secure Aggregation Algorithm for Federated Learning in IoV
    Fu, Yuchuan
    Niu, Xiaojian
    Zhou, Lingling
    Cai, Xuelian
    Richard Yu, F.
    Cheng, Nan
    Li, Changle
    IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (05): : 5876 - 5890
  • [44] Blockchain-Based Decentralized Model Aggregation for Cross-Silo Federated Learning in Industry 4.0
    Ranathunga, Tharindu
    McGibney, Alan
    Rea, Susan
    Bharti, Sourabh
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (05) : 4449 - 4461
  • [45] Artificial Identification: A Novel Privacy Framework for Federated Learning Based on Blockchain
    Ouyang, Liwei
    Wang, Fei-Yue
    Tian, Yonglin
    Jia, Xiaofeng
    Qi, Hongwei
    Wang, Ge
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 10 (06) : 3576 - 3585
  • [46] VOSA: Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning
    Wang, Yong
    Zhang, Aiqing
    Wu, Shu
    Yu, Shui
    IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2023, 20 (05) : 3601 - 3616
  • [47] Privacy enhanced data aggregation based on federated learning in Internet of Vehicles (IoV)
    Mun, Hyeran
    Han, Kyusuk
    Damiani, Ernesto
    Kim, Tae-Yeon
    Yeun, Hyun Ku
    Puthal, Deepak
    Yeun, Chan Yeob
    COMPUTER COMMUNICATIONS, 2024, 223 : 15 - 25
  • [48] Verifiable Federated Learning With Privacy-Preserving Data Aggregation for Consumer Electronics
    Xie, Haoran
    Wang, Yujue
    Ding, Yong
    Yang, Changsong
    Zheng, Haibin
    Qin, Bo
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 70 (01) : 2696 - 2707
  • [49] EPFL-DAC: Enhancing Privacy in Federated Learning with Dynamic Aggregation and Clipping
    Wei, Qianjin
    Rao, Gang
    COMPUTERS & SECURITY, 2024, 143
  • [50] A Privacy-Preserving Aggregation Scheme With Continuous Authentication for Federated Learning in VANETs
    Feng, Xia
    Wang, Xiaofeng
    Liu, Haiyang
    Yang, Haowei
    Wang, Liangmin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (07) : 9465 - 9477