Convergence Analysis and Energy Minimization for Reconfigurable Intelligent Surface-Assisted Federated Learning

被引：0
|
作者：
Zhang, Siyu [1 ]
Yang, Zheng [1 ]
Chen, Gaojie [2 ]
Dong, Zhicheng [3 ]
Han, Zhu [4 ,5 ]
机构：
[1] Fujian Normal University, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, Fuzhou,350117, China
[2] Sun Yat-sen University, School Of Flexible Electronics (SoFE), Guangdong, Shenzhen,518107, China
[3] Tibet University, School of Information Science and Technology, Lhasa,850011, China
[4] University of Houston, Department of Electrical and Computer Engineering, Houston,TX,77004, United States
[5] Kyung Hee University, Department of Computer Science and Engineering, Seoul,446-701, Korea, Republic of
来源：
IEEE Transactions on Wireless Communications | 2024年 / 23卷 / 11期
关键词：
38;
D O I：
10.1109/TWC.2024.3453398
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：17384 / 17398
相关论文
共 50 条
  • [21] Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks
    Yang, Le
    Li, Xiao
    Jin, Shi
    Matthaiou, Michail
    Zheng, Fu-Chun
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (09) : 6277 - 6294
  • [22] Performance Analysis of Reconfigurable Intelligent Surface-Assisted Wireless Systems and Comparison With Relaying
    Boulogeorgos, Alexandros-Apostolos A.
    Alexiou, Angeliki
    [J]. IEEE ACCESS, 2020, 8 : 94463 - 94483
  • [23] Outage Probability Analysis and Minimization in Intelligent Reflecting Surface-Assisted MISO Systems
    Guo, Chang
    Cui, Ying
    Yang, Feng
    Ding, Lianghui
    [J]. IEEE COMMUNICATIONS LETTERS, 2020, 24 (07) : 1563 - 1567
  • [24] Enhanced Reconfigurable Intelligent Surface Assisted mmWave Communication: A Federated Learning Approach
    Lixin Li
    Donghui Ma
    Huan Ren
    Dawei Wang
    Xiao Tang
    Wei Liang
    Tong Bai
    [J]. China Communications, 2020, 17 (10) : 115 - 128
  • [25] Fine-Grained Analysis of Reconfigurable Intelligent Surface-Assisted mmWave Networks
    Yang, Le
    Li, Xiao
    Jin, Shi
    Matthaiout, Michail
    Zheng, Fu-Chun
    [J]. 2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [26] Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning
    Jin, Jiaqi
    Wang, Zhibin
    Wu, Liantao
    Zhou, Yong
    [J]. 2023 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS, 2023, : 367 - 372
  • [27] Enhanced Reconfigurable Intelligent Surface Assisted mmWave Communication: A Federated Learning Approach
    Li, Lixin
    Ma, Donghui
    Ren, Huan
    Wang, Dawei
    Tang, Xiao
    Liang, Wei
    Bai, Tong
    [J]. CHINA COMMUNICATIONS, 2020, 17 (10) : 115 - 128
  • [28] Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems-A Review
    Ibarra-Hernandez, Roilhi F.
    Castillo-Soria, Francisco R.
    Gutierrez, Carlos A.
    Garcia-Barrientos, Abel
    Vasquez-Toledo, Luis Alberto
    Del-Puerto-Flores, J. Alberto
    [J]. FUTURE INTERNET, 2024, 16 (05)
  • [29] On the Outage Performance of Reconfigurable Intelligent Surface-Assisted UAV Communications
    Abualhayja'a, Mohammad
    Centeno, Anthony
    Mohjazi, Lina
    Abbasi, Qammer H.
    Imran, Muhammad Ali
    [J]. 2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [30] Reconfigurable Intelligent Surface-Assisted Rectangular Differential Spatial Modulation
    Chen, Zhigang
    Wang, Lei
    [J]. 2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
12345