Toward Scalable Wireless Federated Learning: Challenges and Solutions

Article Properties
  • DOI (url)
    10.1109/iotm.001.2300099
  • Publication Date
    2023/12/01
  • Journal
    IEEE Internet of Things Magazine
  • Indian UGC (journal)
  • Refrences
    15
  • Yong Zhou ShanghaiTech University,China
  • Yuanming Shi ShanghaiTech University,China
  • Haibo Zhou Nanjing University,China
  • Jingjing Wang Beihang University,China
  • Liqun Fu Xiameng University,China
  • Yang Yang University of Science and Technology (Guangzhou),China
Cite
Zhou, Yong, et al. “Toward Scalable Wireless Federated Learning: Challenges and Solutions”. IEEE Internet of Things Magazine, vol. 6, no. 4, 2023, pp. 10-16, https://doi.org/10.1109/iotm.001.2300099.
Zhou, Y., Shi, Y., Zhou, H., Wang, J., Fu, L., & Yang, Y. (2023). Toward Scalable Wireless Federated Learning: Challenges and Solutions. IEEE Internet of Things Magazine, 6(4), 10-16. https://doi.org/10.1109/iotm.001.2300099
Zhou Y, Shi Y, Zhou H, Wang J, Fu L, Yang Y. Toward Scalable Wireless Federated Learning: Challenges and Solutions. IEEE Internet of Things Magazine. 2023;6(4):10-6.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/MCOM.001.1900103
10.1109/TWC.2019.2961673
10.1109/TWC.2022.3189601
10.1109/JSAC.2021.3118352
10.1109/TWC.2022.3191118