Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization

21 June 2020

Papers citing "Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization"

15 / 15 papers shown

Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 36 0 0 18 Oct 2024
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 46 1 0 12 Oct 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 44 2 0 17 May 2024
Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher Hadrien Hendrikx Aymeric Dieuleveut AAML 33 0 0 06 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 42 3 0 02 May 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 73 5 0 05 Dec 2022
On Generalization of Decentralized Learning with Separable Data Hossein Taheri Christos Thrampoulidis FedML 42 11 0 15 Sep 2022
A principled framework for the design and analysis of token algorithms Hadrien Hendrikx FedML 29 13 0 30 May 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko Grigory Malinovsky Sebastian U. Stich Peter Richtárik 11 152 0 18 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 37 35 0 06 Feb 2022
Acceleration in Distributed Optimization under Similarity Helena Lofstrom G. Scutari Tianyue Cao Alexander Gasnikov 27 26 0 24 Oct 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 37 32 0 04 Mar 2021
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
Newton Method over Networks is Fast up to the Statistical Precision Amir Daneshmand G. Scutari Pavel Dvurechensky Alexander Gasnikov 30 22 0 12 Feb 2021