Entropy-based Federated Incremental Learning and Optimization in Industrial Internet of Things

被引：0
|
作者：
Yang, Ruizhe [1 ,2 ]
Xie, Xinru [1 ,2 ]
Teng, Yinglei [3 ]
Li, Meng [1 ,2 ]
Sun, Yanhua [1 ,2 ]
Zhang, Dajun [4 ]
机构：
[1] Faculty of Information Technology, Beijing University of Technology, Beijing,100124, China
[2] Beijing Laboratory of Advanced Information Networks, Beijing University of Technology, Beijing,100124, China
[3] Electronic Engineering School, Beijing University of Posts and Telecommunications, Beijing,100083, China
[4] School of Information Technology, Carleton University, Ottawa,K1S 5B6, Canada
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2024年 / 46卷 / 08期
关键词：
D O I：
10.11999/JEIT231240
中图分类号：
学科分类号：
摘要：
Convex optimization
引用
收藏
页码：3146 / 3154
相关论文
共 50 条
  • [41] Anonymous federated learning framework in the internet of things
    Du, Ruizhong
    Liu, Chuan
    Gao, Yan
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023,
  • [42] Anonymous federated learning framework in the internet of things
    Du, Ruizhong
    Liu, Chuan
    Gao, Yan
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (02):
  • [43] Federated Learning for Internet of Things: A Comprehensive Survey
    Nguyen, Dinh C.
    Ding, Ming
    Pathirana, Pubudu N.
    Seneviratne, Aruna
    Li, Jun
    Poor, H. Vincent
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2021, 23 (03): : 1622 - 1658
  • [44] VFLF: A verifiable federated learning framework against malicious aggregators in Industrial Internet of Things
    Zhou, Zhou
    Tian, Youliang
    Peng, Changgen
    Yang, Nan
    Long, Shigong
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (20):
  • [45] Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things
    Zhang, Zhao
    Zhang, Yong
    Li, Hao
    Liu, Shenbo
    Chen, Wei
    Zhang, Zhigang
    Tang, Lijun
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 135
  • [46] Federated Learning for Cost Optimized Offloading in Edge-enabled Industrial Internet of Things
    Hazra, Abhishek
    Mali, Bhabesh
    Kalita, Alakesh
    Gurusamy, Mohan
    2023 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2024,
  • [47] Toward Accurate Anomaly Detection in Industrial Internet of Things Using Hierarchical Federated Learning
    Wang, Xiaoding
    Garg, Sahil
    Lin, Hui
    Hu, Jia
    Kaddoum, Georges
    Piran, Md Jalil
    Hossain, M. Shamim
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (10) : 7110 - 7119
  • [48] Communication-Efficient Federated Learning for Digital Twin Systems of Industrial Internet of Things
    Zhao, Yunming
    Li, Li
    Liu, Ying
    Fan, Yuxi
    Lin, Kuo-Yi
    IFAC PAPERSONLINE, 2022, 55 (02): : 433 - 438
  • [49] Edge aggregation placement for semi-decentralized federated learning in Industrial Internet of Things
    Xu, Bo
    Zhao, Haitao
    Cao, Haotong
    Garg, Sahil
    Kaddoum, Georges
    Hassan, Mohammad Mehedi
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2024, 150 : 160 - 170
  • [50] Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things
    Ren, Jianji
    Wang, Haichao
    Hou, Tingting
    Zheng, Shuai
    Tang, Chaosheng
    IEEE ACCESS, 2019, 7 : 69194 - 69201
12345