Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization

25 February 2020

Laurent Massoulie

Papers citing "Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization"

32 / 32 papers shown

Title
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis Ruichen Luo Sebastian U Stich Samuel Horváth Martin Takáč 135 0 0 08 Jan 2025
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity Dmitry Bylinkin Aleksandr Beznosikov 143 1 0 21 Dec 2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning Dmitry Bylinkin Kirill Degtyarev Aleksandr Beznosikov FedML 68 0 0 22 Sep 2024
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 78 2 0 09 Jul 2024
Local Methods with Adaptivity via Scaling Saveliy Chezhegov Sergey Skorik Nikolas Khachaturov Danil Shalagin A. Avetisyan Aleksandr Beznosikov Martin Takáč Yaroslav Kholodov Alexander Gasnikov 107 3 0 02 Jun 2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik G. Karagulyan Egor Shulgin Abdurakhmon Sadiev Peter Richtárik FedML 83 3 0 30 May 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity Qihao Zhou Haishan Ye Luo Luo 74 0 0 25 May 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 103 2 0 17 May 2024
Federated Optimization with Doubly Regularized Drift Correction Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 70 7 0 12 Apr 2024
Non-Convex Stochastic Composite Optimization with Polyak Momentum Yuan Gao Anton Rodomanov Sebastian U. Stich 73 8 0 05 Mar 2024
Optimal Data Splitting in Distributed Optimization for Machine Learning Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 75 3 0 15 Jan 2024
Fast Sampling and Inference via Preconditioned Langevin Dynamics Riddhiman Bhattacharya Tiefeng Jiang 56 1 0 11 Oct 2023
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis Dachao Lin Yuze Han Haishan Ye Zhihua Zhang 72 12 0 15 Apr 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 76 11 0 15 Feb 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy Blake E. Woodworth Konstantin Mishchenko Francis R. Bach 82 6 0 07 Feb 2023
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 93 19 0 06 Sep 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 60 10 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 70 13 0 30 May 2022
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient Xiaoge Deng Dongsheng Li Tao Sun Xicheng Lu FedML 45 0 0 08 Dec 2021
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information Nima Eshraghi Ben Liang 90 9 0 07 Dec 2021
Random-reshuffled SARAH does not need a full gradient computations Aleksandr Beznosikov Martin Takáč 65 8 0 26 Nov 2021
Acceleration in Distributed Optimization under Similarity Helena Lofstrom G. Scutari Tianyue Cao Alexander Gasnikov 70 28 0 24 Oct 2021
Distributed Saddle-Point Problems Under Similarity Aleksandr Beznosikov G. Scutari Alexander Rogozin Alexander Gasnikov 82 15 0 22 Jul 2021
Robust Distributed Optimization With Randomly Corrupted Gradients Berkay Turan César A. Uribe Hoi-To Wai M. Alizadeh 63 17 0 28 Jun 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova V. Samokhin Sebastian U. Stich Alexander Gasnikov 60 43 0 15 Jun 2021
Communication-Efficient Distributed Optimization with Quantized Preconditioners Foivos Alimisis Peter Davies Dan Alistarh 56 16 0 14 Feb 2021
Newton Method over Networks is Fast up to the Statistical Precision Amir Daneshmand G. Scutari Pavel Dvurechensky Alexander Gasnikov 60 22 0 12 Feb 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization Mathieu Even Laurent Massoulié 93 14 0 04 Feb 2021
The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication Blake E. Woodworth Brian Bullins Ohad Shamir Nathan Srebro 61 49 0 02 Feb 2021
First-Order Methods for Convex Optimization Pavel Dvurechensky Mathias Staudigl Shimrit Shtern ODL 81 26 0 04 Jan 2021
Stochastic Saddle-Point Optimization for Wasserstein Barycenters D. Tiapkin Alexander Gasnikov Pavel Dvurechensky 42 7 0 11 Jun 2020
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xiao-Tong Yuan Ping Li 129 32 0 06 Aug 2019