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LocalNewton: Reducing Communication Bottleneck for Distributed Learning

LocalNewton: Reducing Communication Bottleneck for Distributed Learning

16 May 2021
Vipul Gupta
Avishek Ghosh
Michal Derezinski
Rajiv Khanna
K. Ramchandran
Michael W. Mahoney
ArXivPDFHTML

Papers citing "LocalNewton: Reducing Communication Bottleneck for Distributed Learning"

5 / 5 papers shown
Title
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
FedSSO: A Federated Server-Side Second-Order Optimization Algorithm
Xinteng Ma
Renyi Bao
Jinpeng Jiang
Yang Liu
Arthur Jiang
Junhua Yan
Xin Liu
Zhisong Pan
FedML
32
6
0
20 Jun 2022
Basis Matters: Better Communication-Efficient Second Order Methods for
  Federated Learning
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
Xun Qian
Rustem Islamov
M. Safaryan
Peter Richtárik
FedML
19
23
0
02 Nov 2021
A Stochastic Newton Algorithm for Distributed Convex Optimization
A Stochastic Newton Algorithm for Distributed Convex Optimization
Brian Bullins
Kumar Kshitij Patel
Ohad Shamir
Nathan Srebro
Blake E. Woodworth
26
15
0
07 Oct 2021
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton
  Update
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski
Jonathan Lacotte
Mert Pilanci
Michael W. Mahoney
32
26
0
15 Jul 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
227
575
0
12 Sep 2019
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