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FedSup: A Communication-Efficient Federated Learning Fatigue Driving
  Behaviors Supervision Framework

FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework

25 April 2021
Chen Zhao
Zhipeng Gao
Qian Wang
Kaile Xiao
Zijia Mo
M. Deen
    FedML
ArXivPDFHTML

Papers citing "FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework"

2 / 2 papers shown
Title
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,688
0
14 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1