Distributed stochastic optimization with gradient tracking over
strongly-connected networks

Distributed stochastic optimization with gradient tracking over strongly-connected networks

18 March 2019

Anit Kumar Sahu

Papers citing "Distributed stochastic optimization with gradient tracking over strongly-connected networks"

15 / 15 papers shown

Title
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function Elissa Mhanna Mohamad Assaad 61 4 0 08 Oct 2024
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture Zehan Zhu Ye Tian Yan Huang Jinming Xu Shibo He OOD 40 2 0 21 Jul 2023
On the convergence result of the gradient-push algorithm on directed graphs with constant stepsize Woocheol Choi Doheon Kim S. Yun 37 1 0 17 Feb 2023
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 38 4 0 11 Oct 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning Anastasia Koloskova Tao R. Lin Sebastian U. Stich 24 106 0 08 Feb 2022
Tailoring Gradient Methods for Differentially-Private Distributed Optimization Yongqiang Wang A. Nedić 30 67 0 02 Feb 2022
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks Mohammadreza Doostmohammadian Alireza Aghasi Maria Vrakopoulou Themistoklis Charalambous 35 12 0 10 Sep 2021
Competing Adaptive Networks Stefan Vlaski Ali H. Sayed 25 2 0 29 Mar 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs Muhammad I. Qureshi Ran Xin S. Kar U. Khan 23 33 0 15 May 2020
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks Shi Pu 29 38 0 31 Mar 2020
Gradient tracking and variance reduction for decentralized optimization and machine learning Ran Xin S. Kar U. Khan 19 10 0 13 Feb 2020
Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG Ran Xin U. Khan S. Kar 26 8 0 08 Oct 2019
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points Stefan Vlaski Ali H. Sayed 29 53 0 03 Jul 2019
On the Influence of Bias-Correction on Distributed Stochastic Optimization Kun Yuan Sulaiman A. Alghunaim Bicheng Ying Ali H. Sayed 36 63 0 26 Mar 2019