Distributed consensus problem with caching on federated learning framework

被引:0
|
作者
Yan, Xin [1 ]
Qin, Yiming [1 ]
Hu, Xiaodong [2 ]
Xiao, Xiaoling [3 ]
机构
[1] School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China
[2] The Faculty of Education, The University of Hong Kong, Hong Kong
[3] School of Computer Science, Yangtze University, Jingzhou, China
关键词
Network architecture;
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
  • [31] Clustered Hierarchical Distributed Federated Learning
    Gou, Yan
    Wang, Ruiyu
    Li, Zongyao
    Imran, Muhammad Ali
    Zhang, Lei
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 177 - 182
  • [32] On Social Consensus Mechanisms for Federated Learning Aggregation
    de Camargo, Igor Felipe
    Antunes, Rodolfo Stoffel
    Ramos, Gabriel de O.
    INTELLIGENT SYSTEMS, PT II, 2022, 13654 : 236 - 250
  • [33] Learning to Cache: Federated Caching in a Cellular Network With Correlated Demands
    Krishnendu, S.
    Bharath, B. N.
    Garg, Navneet
    Bhatia, Vimal
    Ratnarajah, Tharmalingam
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (03) : 1653 - 1665
  • [34] Federated Reinforcement Learning with Adaptive Training Times for Edge Caching
    Fan, Shaoshuai
    Hu, Liyun
    Tian, Hui
    CHINA COMMUNICATIONS, 2022, 19 (08) : 57 - 72
  • [35] Federated Learning Based Proactive Content Caching in Edge Computing
    Yu, Zhengxin
    Hu, Jia
    Min, Geyong
    Lu, Haochuan
    Zhao, Zhiwei
    Wang, Haozhe
    Georgalas, Nektarios
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [36] Proactive Caching in the Edge-Cloud Continuum with Federated Learning
    Zyrianoff, Ivan
    Montecchiari, Leonardo
    Trotta, Angelo
    Gigli, Lorenzo
    Kamienski, Carlos
    Di Felice, Marco
    2024 IEEE 21ST CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2024, : 234 - 240
  • [37] Federated Learning for Distributed NWDAF Architecture
    Rajabzadeh, Parsa
    Outtagarts, Abdelkader
    2023 26TH CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS AND WORKSHOPS, ICIN, 2023,
  • [38] A Fair Federated Learning Framework With Reinforcement Learning
    Sun, Yaqi
    Si, Shijing
    Wang, Jianzong
    Dong, Yuhan
    Zhu, Zhitao
    Xiao, Jing
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [39] Collaborative Caching in Edge Computing via Federated Learning and Deep Reinforcement Learning
    Wang, Yali
    Chen, Jiachao
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [40] Beyond Federated Learning for IoT: Efficient Split Learning With Caching and Model Customization
    Chawla, Manisha
    Gupta, Gagan Raj
    Gaddam, Shreyas
    Wadhwa, Manas
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (20): : 32617 - 32630