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Communication-Efficient Design for Quantized Decentralized Federated
  Learning

Communication-Efficient Design for Quantized Decentralized Federated Learning

15 March 2023
L. Chen
Wei Liu
Yunfei Chen
Weidong Wang
    FedML
    MQ
ArXivPDFHTML

Papers citing "Communication-Efficient Design for Quantized Decentralized Federated Learning"

5 / 5 papers shown
Title
FedDQ: Communication-Efficient Federated Learning with Descending
  Quantization
FedDQ: Communication-Efficient Federated Learning with Descending Quantization
Linping Qu
Shenghui Song
Chi-Ying Tsui
FedML
MQ
54
26
0
05 Oct 2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
Ali Ramezani-Kebrya
Fartash Faghri
Ilya Markov
V. Aksenov
Dan Alistarh
Daniel M. Roy
MQ
51
30
0
28 Apr 2021
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
IntSGD: Adaptive Floatless Compression of Stochastic Gradients
Konstantin Mishchenko
Bokun Wang
D. Kovalev
Peter Richtárik
67
14
0
16 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
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
138
1,663
0
14 Apr 2018
1