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Quantization Robust Federated Learning for Efficient Inference on
  Heterogeneous Devices

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices

22 June 2022
Kartik Gupta
Marios Fournarakis
M. Reisser
Christos Louizos
Markus Nagel
    FedML
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Papers citing "Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices"

4 / 4 papers shown
Title
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
13
13
0
10 Feb 2024
Overcoming Oscillations in Quantization-Aware Training
Overcoming Oscillations in Quantization-Aware Training
Markus Nagel
Marios Fournarakis
Yelysei Bondarenko
Tijmen Blankevoort
MQ
106
70
0
21 Mar 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
168
267
0
26 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
756
0
28 Sep 2019
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