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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

19 January 2022
Jiaojiao Zhang
Huikang Liu
Anthony Man-Cho So
Qing Ling
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
FedML
AI4CE
70
0
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
Quanzheng Li
17
6
0
16 Mar 2023
SPIRAL: A superlinearly convergent incremental proximal algorithm for
  nonconvex finite sum minimization
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
Pourya Behmandpoor
P. Latafat
Andreas Themelis
Marc Moonen
Panagiotis Patrinos
29
2
0
17 Jul 2022
1