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Faster Stochastic Alternating Direction Method of Multipliers for
  Nonconvex Optimization
v1v2v3 (latest)

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization

4 August 2020
Feihu Huang
Songcan Chen
Heng-Chiao Huang
ArXiv (abs)PDFHTML

Papers citing "Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization"

12 / 12 papers shown
DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashing
DualHash: A Stochastic Primal-Dual Algorithm with Theoretical Guarantee for Deep Hashing
Luxuan Li
Xiao Wang
C. Cui
192
0
0
21 Oct 2025
Preconditioned Inexact Stochastic ADMM for Deep Model
Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou
Ouya Wang
Ziyan Luo
Yongxu Zhu
Geoffrey Ye Li
546
2
0
15 Feb 2025
A General Continuous-Time Formulation of Stochastic ADMM and Its
  Variants
A General Continuous-Time Formulation of Stochastic ADMM and Its Variants
Chris Junchi Li
283
1
0
22 Apr 2024
Complexity of Single Loop Algorithms for Nonlinear Programming with
  Stochastic Objective and Constraints
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ahmet Alacaoglu
Stephen J. Wright
281
20
0
01 Nov 2023
Desirable Companion for Vertical Federated Learning: New Zeroth-Order
  Gradient Based Algorithm
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based AlgorithmInternational Conference on Information and Knowledge Management (CIKM), 2021
Qingsong Zhang
Bin Gu
Zhiyuan Dang
Cheng Deng
Heng-Chiao Huang
FedML
290
19
0
19 Mar 2022
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in
  Edge Industrial IoT
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Wanlu Lei
Yu Ye
Ming Xiao
Mikael Skoglund
Zhu Han
145
1
0
30 Jun 2021
Secure Bilevel Asynchronous Vertical Federated Learning with Backward
  Updating
Secure Bilevel Asynchronous Vertical Federated Learning with Backward UpdatingAAAI Conference on Artificial Intelligence (AAAI), 2021
Qingsong Zhang
Bin Gu
Cheng Deng
Heng-Chiao Huang
FedML
143
80
0
01 Mar 2021
A Framework of Inertial Alternating Direction Method of Multipliers for
  Non-Convex Non-Smooth Optimization
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth OptimizationComputational optimization and applications (COA), 2021
L. Hien
D. Phan
Nicolas Gillis
199
25
0
10 Feb 2021
Scalable Plug-and-Play ADMM with Convergence Guarantees
Scalable Plug-and-Play ADMM with Convergence Guarantees
Yu Sun
Zihui Wu
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
BDL
445
98
0
05 Jun 2020
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Stochastic Modified Equations for Continuous Limit of Stochastic ADMM
Xiang Zhou
Huizhuo Yuan
C. J. Li
Qingyun Sun
311
6
0
07 Mar 2020
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query
  Complexity
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query ComplexityIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Feihu Huang
Shangqian Gao
Jian Pei
Heng-Chiao Huang
407
9
0
30 Jul 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for
  Nonconvex Nonsmooth Optimization
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth OptimizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Feihu Huang
Shangqian Gao
Songcan Chen
Heng-Chiao Huang
221
21
0
29 May 2019
1
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