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Permutation Compressors for Provably Faster Distributed Nonconvex Optimization

Permutation Compressors for Provably Faster Distributed Nonconvex Optimization

Rafal Szlendak
Alexander Tyurin
Peter Richtárik
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Papers citing "Permutation Compressors for Provably Faster Distributed Nonconvex Optimization"

5 / 5 papers shown
Title
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
53
0
0
11 Nov 2024
Linearly Converging Error Compensated SGD
Linearly Converging Error Compensated SGD
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
191
78
0
23 Oct 2020
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels
Sai Praneeth Karimireddy
Martin Jaggi
64
320
0
31 May 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression
Hanlin Tang
Xiangru Lian
Chen Yu
Tong Zhang
Ji Liu
33
217
0
15 May 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
81
572
0
04 Jul 2018

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