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NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
28 April 2021
Ali Ramezani-Kebrya
Fartash Faghri
Ilya Markov
V. Aksenov
Dan Alistarh
Daniel M. Roy
MQ
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Papers citing
"NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization"
5 / 5 papers shown
Title
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Ali Ramezani-Kebrya
Kimon Antonakopoulos
Igor Krawczuk
Justin Deschenaux
V. Cevher
36
2
0
17 Aug 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning
Ron Dorfman
S. Vargaftik
Y. Ben-Itzhak
Kfir Y. Levy
FedML
24
18
0
01 Feb 2023
L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning
Mohammadreza Alimohammadi
I. Markov
Elias Frantar
Dan Alistarh
30
5
0
31 Oct 2022
Large-Scale Deep Learning Optimizations: A Comprehensive Survey
Xiaoxin He
Fuzhao Xue
Xiaozhe Ren
Yang You
27
14
0
01 Nov 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin
Eduard A. Gorbunov
Vsevolod Plokhotnyuk
Gennady Pekhimenko
35
31
0
04 Mar 2021
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