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FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout

26 February 2021
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
ArXivPDFHTML

Papers citing "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout"

3 / 3 papers shown
Title
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
137
631
0
15 Feb 2021
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
112
1,500
0
14 Apr 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
241
5,046
0
05 Nov 2016
1