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1908.02246
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On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond
Journal of machine learning research (JMLR), 2019
6 August 2019
Xiao-Tong Yuan
Ping Li
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Papers citing
"On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond"
21 / 21 papers shown
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
AAAI Conference on Artificial Intelligence (AAAI), 2024
Dmitry Bylinkin
Aleksandr Beznosikov
442
3
0
21 Dec 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Neural Information Processing Systems (NeurIPS), 2024
Zhehao Huang
Xinwen Cheng
Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
MU
299
35
0
29 Sep 2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning
Успехи математических наук (Uspekhi Mat. Nauk.), 2024
Dmitry Bylinkin
Kirill Degtyarev
Aleksandr Beznosikov
FedML
250
0
0
22 Sep 2024
A Unified Theory of Stochastic Proximal Point Methods without Smoothness
Peter Richtárik
Abdurakhmon Sadiev
Yury Demidovich
286
8
0
24 May 2024
Federated Optimization with Doubly Regularized Drift Correction
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
257
16
0
12 Apr 2024
Collaborative Distributed Machine Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
Ali Sunyaev
424
8
0
28 Sep 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis
Neural Information Processing Systems (NeurIPS), 2023
Dachao Lin
Yuze Han
Haishan Ye
Zhihua Zhang
365
15
0
15 Apr 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
346
13
0
15 Feb 2023
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation
Journal of machine learning research (JMLR), 2023
Xiao-Tong Yuan
P. Li
254
3
0
09 Jan 2023
Faster federated optimization under second-order similarity
International Conference on Learning Representations (ICLR), 2022
Ahmed Khaled
Chi Jin
FedML
317
25
0
06 Sep 2022
Scalable K-FAC Training for Deep Neural Networks with Distributed Preconditioning
IEEE Transactions on Cloud Computing (IEEE TCC), 2022
Lin Zhang
Shaoshuai Shi
Wei Wang
Yue Liu
233
11
0
30 Jun 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities
Aleksandr Beznosikov
Alexander Gasnikov
274
12
0
19 Jun 2022
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
D. Kovalev
Aleksandr Beznosikov
Ekaterina Borodich
Alexander Gasnikov
G. Scutari
201
13
0
30 May 2022
Acceleration in Distributed Optimization under Similarity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Helena Lofstrom
G. Scutari
Tianyue Cao
Alexander Gasnikov
190
31
0
24 Oct 2021
Distributed Saddle-Point Problems Under Similarity
Aleksandr Beznosikov
G. Scutari
Alexander Rogozin
Alexander Gasnikov
453
14
0
22 Jul 2021
Robust Distributed Optimization With Randomly Corrupted Gradients
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Berkay Turan
César A. Uribe
Hoi-To Wai
M. Alizadeh
245
20
0
28 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
International Conference on Machine Learning (ICML), 2021
Zhuangdi Zhu
Junyuan Hong
Jiayu Zhou
FedML
506
931
0
20 May 2021
Newton Method over Networks is Fast up to the Statistical Precision
International Conference on Machine Learning (ICML), 2021
Amir Daneshmand
G. Scutari
Pavel Dvurechensky
Alexander Gasnikov
190
22
0
12 Feb 2021
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
International Conference on Machine Learning (ICML), 2020
Pan Zhou
Xiaotong Yuan
182
6
0
18 Sep 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
International Conference on Machine Learning (ICML), 2020
Aymeric Dieuleveut
Lin Xiao
Sébastien Bubeck
Francis R. Bach
Laurent Massoulie
272
66
0
25 Feb 2020
Do Subsampled Newton Methods Work for High-Dimensional Data?
AAAI Conference on Artificial Intelligence (AAAI), 2019
Xiang Li
Shusen Wang
Zhihua Zhang
206
15
0
13 Feb 2019
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