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Correlated Quantization for Faster Nonconvex Distributed Optimization

Correlated Quantization for Faster Nonconvex Distributed Optimization

10 January 2024
Andrei Panferov
Yury Demidovich
Ahmad Rammal
Peter Richtárik
    MQ
ArXivPDFHTML

Papers citing "Correlated Quantization for Faster Nonconvex Distributed Optimization"

6 / 6 papers shown
Title
MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes
Igor Sokolov
Peter Richtárik
72
1
0
22 Dec 2024
A Unified Theory of Stochastic Proximal Point Methods without Smoothness
A Unified Theory of Stochastic Proximal Point Methods without Smoothness
Peter Richtárik
Abdurakhmon Sadiev
Yury Demidovich
22
4
0
24 May 2024
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization
  with Loopless Variance Reduction
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction
Yury Demidovich
Grigory Malinovsky
Peter Richtárik
50
2
0
11 Mar 2024
Permutation Compressors for Provably Faster Distributed Nonconvex
  Optimization
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization
Rafal Szlendak
A. Tyurin
Peter Richtárik
113
35
0
07 Oct 2021
DRIVE: One-bit Distributed Mean Estimation
DRIVE: One-bit Distributed Mean Estimation
S. Vargaftik
Ran Ben-Basat
Amit Portnoy
Gal Mendelson
Y. Ben-Itzhak
Michael Mitzenmacher
OOD
FedML
66
51
0
18 May 2021
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
175
1,184
0
30 Nov 2014
1