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Federated Learning for Drowsiness Detection in Connected Vehicles

Federated Learning for Drowsiness Detection in Connected Vehicles

6 May 2024
William Lindskog
Valentin Spannagl
Christian Prehofer
    FedML
ArXivPDFHTML

Papers citing "Federated Learning for Drowsiness Detection in Connected Vehicles"

4 / 4 papers shown
Title
Survey and synthesis of state of the art in driver monitoring
Survey and synthesis of state of the art in driver monitoring
Anaïs Halin
J. Verly
Marc Van Droogenbroeck
19
47
0
01 Oct 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
282
855
0
01 Mar 2021
Flower: A Friendly Federated Learning Research Framework
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
64
795
0
28 Jul 2020
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
267
4,620
0
18 Oct 2016
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