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
  • [11] A solar forecasting framework based on federated learning and distributed computing
    Wen, Haoran
    Du, Yang
    Lim, Eng Gee
    Wen, Huiqing
    Yan, Ke
    Li, Xingshuo
    Jiang, Lin
    BUILDING AND ENVIRONMENT, 2022, 225
  • [12] A Distributed Federated Transfer Learning Framework for Edge Optical Network
    Yang, Hui
    Yao, Qiuyan
    Zhang, Jie
    2020 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP) AND INTERNATIONAL CONFERENCE ON INFORMATION PHOTONICS AND OPTICAL COMMUNICATIONS (IPOC), 2020,
  • [13] A self-organized MoE framework for distributed federated learning
    Lee, Jungjae
    Kim, Wooseong
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 169
  • [14] A Secure and Fair Federated Learning Framework Based on Consensus Incentive Mechanism
    Zhu, Feng
    Hu, Feng
    Zhao, Yanchao
    Chen, Bing
    Tan, Xiaoyang
    MATHEMATICS, 2024, 12 (19)
  • [15] A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus
    Li, Yuzheng
    Chen, Chuan
    Liu, Nan
    Huang, Huawei
    Zheng, Zibin
    Yan, Qiang
    IEEE NETWORK, 2021, 35 (01): : 234 - 241
  • [16] Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing
    Nguyen, Chi-Hieu
    Saputra, Yuris Mulya
    Hoang, Dinh Thai
    Nguyen, Diep N.
    Nguyen, Van-Dinh
    Xiao, Yong
    Dutkiewicz, Eryk
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 32 (03) : 2705 - 2720
  • [17] FedDCS: A distributed client selection framework for cross device federated learning
    Panigrahi, Monalisa
    Bharti, Sourabh
    Sharma, Arun
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2023, 144 : 24 - 36
  • [18] From Eye to Brain: A Proactive and Distributed Crowdsensing Framework for Federated Learning
    Wu, Hongjia
    Zeng, Hui
    Zhou, Tongqing
    Cai, Zhiping
    Xiong, Zehui
    Niyato, Dusit
    Han, Zhu
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (09) : 8202 - 8214
  • [19] A framework for energy and carbon footprint analysis of distributed and federated edge learning
    Savazzi, Stefano
    Kianoush, Sanaz
    Rampa, Vittorio
    Bennis, Mehdi
    2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [20] Privacy-Preserving Asynchronous Federated Learning Framework in Distributed IoT
    Yan, Xinru
    Miao, Yinbin
    Li, Xinghua
    Choo, Kim-Kwang Raymond
    Meng, Xiangdong
    Deng, Robert H. H.
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (15) : 13281 - 13291