Communication-Efficient and Privacy-Preserving Federated Learning via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks

被引：0
|
作者：
Gad, Gad [1 ]
Gad, Eyad [1 ]
Fadlullah, Zubair Md [1 ]
Fouda, Mostafa M. [2 ,3 ]
Kato, Nei [4 ]
机构：
[1] Western University, Department of Computer Science, London,ON,N6G 2V4, Canada
[2] Idaho State University, Department of Electrical and Computer Engineering, Pocatello,ID,83209, United States
[3] Center for Advanced Energy Studies (CAES), Idaho Falls,ID,83401, United States
[4] Tohoku University, Graduate School of Information Sciences, Sendai,980-8577, Japan
来源：
IEEE Transactions on Vehicular Technology | 2024年 / 73卷 / 11期
关键词：
5G mobile communication systems;
D O I：
10.1109/TVT.2024.3423718
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：17586 / 17601
相关论文
共 50 条
  • [1] Communication-Efficient Privacy-Preserving Federated Learning via Knowledge Distillation for Human Activity Recognition Systems
    Gad, Gad
    Fadlullah, Zubair Md
    Rabie, Khaled
    Fouda, Mostafa M.
    ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2023, : 1572 - 1578
  • [2] Communication-Efficient Personalized Federated Learning With Privacy-Preserving
    Wang, Qian
    Chen, Siguang
    Wu, Meng
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (02): : 2374 - 2388
  • [3] Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems
    Gad, Gad
    Fadlullah, Zubair Md
    Fouda, Mostafa M.
    Ibrahem, Mohamed I.
    Nasser, Nidal
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 2051 - 2056
  • [4] Communication-Efficient and Privacy-Preserving Aggregation in Federated Learning With Adaptability
    Sun, Xuehua
    Yuan, Zengsen
    Kong, Xianguang
    Xue, Liang
    He, Lang
    Lin, Ying
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (15): : 26430 - 26443
  • [5] Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning
    Peng, Kaixin
    Shen, Xiaoying
    Gao, Le
    Wang, Baocang
    Lu, Yichao
    ENTROPY, 2023, 25 (08)
  • [6] Privacy-preserving and communication-efficient federated learning in Internet of Things
    Fang, Chen
    Guo, Yuanbo
    Hu, Yongjin
    Ma, Bowen
    Feng, Li
    Yin, Anqi
    COMPUTERS & SECURITY, 2021, 103 (103)
  • [7] FLCP: federated learning framework with communication-efficient and privacy-preserving
    Yang, Wei
    Yang, Yuan
    Xi, Yingjie
    Zhang, Hailong
    Xiang, Wei
    APPLIED INTELLIGENCE, 2024, 54 (9-10) : 6816 - 6835
  • [8] Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning
    Wang, Feng
    Gursoy, M. Cenk
    Velipasalar, Senem
    2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 3875 - 3880
  • [9] A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy
    Li, Yong
    Du, Wei
    Han, Liquan
    Zhang, Zhenjian
    Liu, Tongtong
    SENSORS, 2023, 23 (23)
  • [10] Communication-Efficient Privacy-Preserving Clustering
    Jagannathan, Geetha
    Pillaipakkamnatt, Krishnan
    Wright, Rebecca N.
    Umano, Daryl
    TRANSACTIONS ON DATA PRIVACY, 2010, 3 (01) : 2 - 26
12345