ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.07450
  4. Cited By
Federated Dropout Learning for Hybrid Beamforming With Spatial Path
  Index Modulation In Multi-User mmWave-MIMO Systems

Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems

15 February 2021
Ahmet M. Elbir
Sinem Coleri
Kumar Vijay Mishra
ArXiv (abs)PDFHTML

Papers citing "Federated Dropout Learning for Hybrid Beamforming With Spatial Path Index Modulation In Multi-User mmWave-MIMO Systems"

2 / 2 papers shown
Title
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
80
7
0
07 Dec 2023
Federated Learning for Physical Layer Design
Federated Learning for Physical Layer Design
Ahmet M. Elbir
Anastasios K. Papazafeiropoulos
Symeon Chatzinotas
FedML
70
26
0
23 Feb 2021
1