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1910.12999
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A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
28 October 2019
Mingrui Liu
Wei Zhang
Youssef Mroueh
Xiaodong Cui
Jerret Ross
Tianbao Yang
Payel Das
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Papers citing
"A Decentralized Parallel Algorithm for Training Generative Adversarial Nets"
43 / 43 papers shown
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks
ACM Symposium on Cloud Computing (SoCC), 2024
Ziji Shi
Jialin Li
Yang You
202
2
0
06 Nov 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
Yan Huang
Xiang Li
Yipeng Shen
Niao He
Jinming Xu
257
2
0
05 Jun 2024
Adjacent Leader Decentralized Stochastic Gradient Descent
European Conference on Artificial Intelligence (ECAI), 2024
Haoze He
Jing Wang
A. Choromańska
214
0
0
18 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
449
9
0
02 May 2024
Diffusion Stochastic Optimization for Min-Max Problems
IEEE Transactions on Signal Processing (IEEE TSP), 2024
H. Cai
Sulaiman A. Alghunaim
Ali H. Sayed
251
5
0
26 Jan 2024
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
Neural Information Processing Systems (NeurIPS), 2023
Miaoxi Zhu
Li Shen
Bo Du
Dacheng Tao
219
9
0
31 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
328
20
0
05 Oct 2023
Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems
IEEE Conference on Decision and Control (CDC), 2023
Chhavi Sharma
Vishnu Narayanan
P. Balamurugan
246
0
0
02 Sep 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
Knowledge Discovery and Data Mining (KDD), 2023
Xidong Wu
Zhengmian Hu
Jian Pei
Heng Huang
219
13
0
06 Aug 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball
Yangyang Xu
321
9
0
14 Jul 2023
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems
Feihu Huang
Songcan Chen
185
8
0
21 Apr 2023
Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems
SIAM Journal on Optimization (SIOPT), 2023
Yangyang Xu
246
10
0
05 Apr 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2023
Zhuqing Liu
Xin Zhang
Songtao Lu
Jia-Wei Liu
198
8
0
05 Mar 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
Neural Information Processing Systems (NeurIPS), 2023
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
316
13
0
15 Feb 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Hongchang Gao
382
19
0
06 Dec 2022
Adaptive Federated Minimax Optimization with Lower Complexities
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Feihu Huang
Xinrui Wang
Junyi Li
Songcan Chen
FedML
363
5
0
14 Nov 2022
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis
Junhyung Lyle Kim
Gauthier Gidel
Anastasios Kyrillidis
Fabian Pedregosa
240
2
0
09 Nov 2022
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning
Haoze He
Parijat Dube
219
1
0
02 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
International Conference on Machine Learning (ICML), 2022
Zhishuai Guo
Rong Jin
Jiebo Luo
Tianbao Yang
FedML
453
11
0
26 Oct 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Neural Information Processing Systems (NeurIPS), 2022
Pouria Mahdavinia
Yuyang Deng
Haochuan Li
M. Mahdavi
248
18
0
17 Oct 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
429
11
0
11 Aug 2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2022
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
307
14
0
27 Jul 2022
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks
Massimiliano Lupo Pasini
Junqi Yin
GAN
149
5
0
25 Jul 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
275
14
0
13 Jun 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Neural Information Processing Systems (NeurIPS), 2022
Zhenyu Sun
Ermin Wei
FedML
335
18
0
02 Jun 2022
Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin
Marios Kountouris
David Gesbert
325
10
0
31 May 2022
Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma
Vishnu Narayanan
P. Balamurugan
162
2
0
28 May 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
International Conference on Machine Learning (ICML), 2022
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
311
59
0
09 Mar 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Neural Information Processing Systems (NeurIPS), 2022
D. Kovalev
Aleksandr Beznosikov
Abdurakhmon Sadiev
Michael Persiianov
Peter Richtárik
Alexander Gasnikov
285
38
0
06 Feb 2022
Decentralized Stochastic Variance Reduced Extragradient Method
Luo Luo
Haishan Ye
333
7
0
01 Feb 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
239
13
0
19 Dec 2021
Extragradient Method:
O
(
1
/
K
)
O(1/K)
O
(
1/
K
)
Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Eduard A. Gorbunov
Nicolas Loizou
Gauthier Gidel
304
76
0
08 Oct 2021
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
Aleksandr Beznosikov
Peter Richtárik
Michael Diskin
Max Ryabinin
Alexander Gasnikov
FedML
310
22
0
07 Oct 2021
Distributed Saddle-Point Problems Under Similarity
Aleksandr Beznosikov
G. Scutari
Alexander Rogozin
Alexander Gasnikov
434
14
0
22 Jul 2021
A New Distributed Method for Training Generative Adversarial Networks
Jinke Ren
Chonghe Liu
Guanding Yu
Dongning Guo
105
1
0
19 Jul 2021
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization
Machine-mediated learning (ML), 2021
Luofeng Liao
Li Shen
Jia Duan
Mladen Kolar
Dacheng Tao
247
5
0
18 Jun 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov
Pavel Dvurechensky
Anastasia Koloskova
V. Samokhin
Sebastian U. Stich
Alexander Gasnikov
306
45
0
15 Jun 2021
Decentralized Personalized Federated Learning for Min-Max Problems
Ekaterina Borodich
Aleksandr Beznosikov
Abdurakhmon Sadiev
V. Sushko
Nikolay Savelyev
Martin Takávc
Alexander Gasnikov
FedML
382
4
0
14 Jun 2021
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
AAAI Conference on Artificial Intelligence (AAAI), 2021
Jiahao Xie
Chao Zhang
Zebang Shen
Weijie Liu
Hui Qian
FedML
246
2
0
29 May 2021
Solving a class of non-convex min-max games using adaptive momentum methods
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Babak Barazandeh
Davoud Ataee Tarzanagh
George Michailidis
202
15
0
26 Apr 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yuyang Deng
M. Mahdavi
292
71
0
25 Feb 2021
Distributionally Robust Federated Averaging
Neural Information Processing Systems (NeurIPS), 2021
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
182
160
0
25 Feb 2021
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients
Xiaojun Chen
Shu Yang
Liyan Shen
Xuanrong Pang
173
4
0
26 Oct 2020
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