Federated learning for millimeter-wave spectrum in 6G networks: applications, challenges, way forward and open research issues

被引：0
|
作者：
Qamar, Faizan [1 ]
Kazmi, Syed Hussain Ali [1 ]
Siddiqui, Maraj Uddin Ahmed [2 ]
Hassan, Rosilah [1 ]
Ariffin, Khairul Akram Zainol [1 ]
机构：
[1] Center of Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Bangi, Malaysia
[2] James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom
来源：
PeerJ Computer Science | 2024年 / 10卷
关键词：
133;
D O I：
10.7717/PEERJ-CS.2360
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Federated learning for millimeter-wave spectrum in 6G networks: applications, challenges, way forward and open research issues
    Qamar, Faizan
    Kazmi, Syed Hussain Ali
    Siddiqui, Maraj Uddin Ahmed
    Hassan, Rosilah
    Arif, Khairul Akram Zainol
    PEERJ COMPUTER SCIENCE, 2024, 10
  • [2] Federated Learning for 6G: Applications, Challenges, and Opportunities
    Zhaohui Yang
    Mingzhe Chen
    KaiKit Wong
    HVincent Poor
    Shuguang Cui
    Engineering, 2022, (01) : 33 - 41
  • [3] Federated Learning for 6G: Applications, Challenges, and Opportunities
    Yang, Zhaohui
    Chen, Mingzhe
    Wong, Kai-Kit
    Poor, H. Vincent
    Cui, Shuguang
    ENGINEERING, 2022, 8 : 33 - 41
  • [4] Federated Learning for 6G: Applications, Challenges, and Opportunities
    Zhaohui Yang
    Mingzhe Chen
    Kai-Kit Wong
    H.Vincent Poor
    Shuguang Cui
    Engineering, 2022, 8 (01) : 33 - 41
  • [5] Unlicensed Spectrum Sharing with WiGig in Millimeter-wave Cellular Networks in 6G Era
    Wang, Pengfei
    Di, Boya
    Song, Lingyang
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,
  • [6] Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities
    Parra-Ullauri, Juan Marcelo
    Zhang, Xunzheng
    Bravalheri, Anderson
    Moazzeni, Shadi
    Wu, Yulei
    Nejabati, Reza
    Simeonidou, Dimitra
    IEEE NETWORK, 2024, 38 (02): : 9 - 17
  • [7] Toward Deterministic Communications in 6G Networks: State of the Art, Open Challenges and the Way Forward
    Sharma, Gourav Prateek
    Patel, Dhruvin
    Sachs, Joachim
    De Andrade, Marilet
    Farkas, Janos
    Harmatos, Janos
    Varga, Balazs
    Bernhard, Hans-Peter
    Muzaffar, Raheeb
    Ahmed, Mahin
    Duerr, Frank
    Bruckner, Dietmar
    De Oca, Edgardo Montes
    Houatra, Drissa
    Zhang, Hongwei
    Gross, James
    IEEE ACCESS, 2023, 11 : 106898 - 106923
  • [8] Toward 6G Communication Networks: Terahertz Frequency Challenges and Open Research Issues
    Alsharif, Mohammed H.
    Albreem, Mahmoud A. M.
    Solyman, Ahmad A. A.
    Kim, Sunghwan
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 66 (03): : 2831 - 2842
  • [9] Federated Learning for 6G Networks: Navigating Privacy Benefits and Challenges
    Sandeepa, Chamara
    Zeydan, Engin
    Samarasinghe, Tharaka
    Liyanage, Madhusanka
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2025, 6 : 90 - 129
  • [10] Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks
    Abouaomar, Amine
    Taik, Afaf
    Filali, Abderrahime
    Cherkaoui, Soumaya
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (02) : 126 - 132
12345