Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning
Cover Image

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Hang, Lin, Zehong, Yuan, Xiaojun, Zhang, Ying-Jun Angela
Format: Preprint
Published: 2021
Subjects:
Information Theory
Machine Learning
Networking and Internet Architecture
Signal Processing
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2109.02353

Similar Items

  • CSIT-Free Model Aggregation for Federated Edge Learning via Reconfigurable Intelligent Surface
    by: Liu, Hang, et al.
    Published: (2021)
  • Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
    by: Liu, Hang, et al.
    Published: (2020)
  • A Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces
    by: Liu, Ruiqi, et al.
    Published: (2021)
  • Reconfigurable Intelligent Surface Constructing 6G Near-Field Networks
    by: Zhao, Yajun
    Published: (2024)
  • Resource Allocation for Channel Estimation in Reconfigurable Intelligent Surface-Aided Multi-Cell Networks
    by: Xu, Yining, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar