Distributed stochastic optimization with gradient tracking over strongly-connected networks

18 March 2019

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

9 / 9 papers shown

Title
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function Elissa Mhanna Mohamad Assaad 53 4 0 08 Oct 2024
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 19 4 0 11 Oct 2022
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over Uniformly-Connected Networks Mohammadreza Doostmohammadian Alireza Aghasi Maria Vrakopoulou Themistoklis Charalambous 32 12 0 10 Sep 2021
Competing Adaptive Networks Stefan Vlaski Ali H. Sayed 14 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 20 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
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points Stefan Vlaski Ali H. Sayed 21 53 0 03 Jul 2019