Newton Method over Networks is Fast up to the Statistical Precision

Newton Method over Networks is Fast up to the Statistical Precision

12 February 2021

Amir Daneshmand

Pavel Dvurechensky

Alexander Gasnikov

Papers citing "Newton Method over Networks is Fast up to the Statistical Precision"

6 / 6 papers shown

Title
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis Dachao Lin Yuze Han Haishan Ye Zhihua Zhang 19 11 0 15 Apr 2023
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences A. Agafonov Brahim Erraji Martin Takáč FedML 27 4 0 18 Oct 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 19 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 33 12 0 30 May 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 11 14 0 19 Jan 2022
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova V. Samokhin Sebastian U. Stich Alexander Gasnikov 26 43 0 15 Jun 2021