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  4. Cited By
Towards Federated Learning-Enabled Visible Light Communication in 6G
  Systems

Towards Federated Learning-Enabled Visible Light Communication in 6G Systems

7 October 2021
Shimaa A. Naser
Lina Bariah
Sami Muhaidat
Mahmoud Al-Qutayri
Ernesto Damiani
Merouane Debbah
P. C. Sofotasios
ArXivPDFHTML

Papers citing "Towards Federated Learning-Enabled Visible Light Communication in 6G Systems"

4 / 4 papers shown
Title
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
27
43
0
17 Jun 2023
Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled
  IoTs: An Anticipatory Study
Poisoning Attacks in Federated Edge Learning for Digital Twin 6G-enabled IoTs: An Anticipatory Study
M. Ferrag
B. Kantarci
Lucas C. Cordeiro
Merouane Debbah
K. Choo
AAML
16
5
0
21 Mar 2023
Federated Learning for Channel Estimation in Conventional and
  RIS-Assisted Massive MIMO
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO
Ahmet M. Elbir
Sinem Coleri
34
129
0
25 Aug 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
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