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Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized
  Learning: Part I

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I

IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
19 January 2022
Jiaojiao Zhang
Huikang Liu
Anthony Man-Cho So
Qing Ling
ArXiv (abs)PDFHTML

Papers citing "Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I"

4 / 4 papers shown
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedMLAI4CE
430
6
0
02 Dec 2024
Decentralized Riemannian natural gradient methods with Kronecker-product
  approximations
Decentralized Riemannian natural gradient methods with Kronecker-product approximations
Jiang Hu
Kangkang Deng
Na Li
Shijie Zhao
203
10
0
16 Mar 2023
A Dual Accelerated Method for Online Stochastic Distributed Averaging:
  From Consensus to Decentralized Policy Evaluation
A Dual Accelerated Method for Online Stochastic Distributed Averaging: From Consensus to Decentralized Policy EvaluationIEEE Transactions on Automatic Control (TAC), 2022
Sheng Zhang
A. Pananjady
Justin Romberg
OffRL
305
5
0
23 Jul 2022
SPIRAL: A superlinearly convergent incremental proximal algorithm for
  nonconvex finite sum minimization
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimizationComputational optimization and applications (Comput. Optim. Appl.), 2022
Pourya Behmandpoor
P. Latafat
Andreas Themelis
Marc Moonen
Panagiotis Patrinos
265
3
0
17 Jul 2022
1
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