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Distributed stochastic optimization with gradient tracking over
  strongly-connected networks

Distributed stochastic optimization with gradient tracking over strongly-connected networks

18 March 2019
Ran Xin
Anit Kumar Sahu
U. Khan
S. Kar
ArXivPDFHTML

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

12 / 12 papers shown
Title
Single Point-Based Distributed Zeroth-Order Optimization with a
  Non-Convex Stochastic Objective Function
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna
Mohamad Assaad
59
4
0
08 Oct 2024
Robust Fully-Asynchronous Methods for Distributed Training over General
  Architecture
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Zehan Zhu
Ye Tian
Yan Huang
Jinming Xu
Shibo He
OOD
27
2
0
21 Jul 2023
Zero-Order One-Point Estimate with Distributed Stochastic
  Gradient-Tracking Technique
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique
Elissa Mhanna
Mohamad Assaad
33
4
0
11 Oct 2022
An Improved Analysis of Gradient Tracking for Decentralized Machine
  Learning
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasia Koloskova
Tao R. Lin
Sebastian U. Stich
22
106
0
08 Feb 2022
Tailoring Gradient Methods for Differentially-Private Distributed
  Optimization
Tailoring Gradient Methods for Differentially-Private Distributed Optimization
Yongqiang Wang
A. Nedić
27
67
0
02 Feb 2022
1st-Order Dynamics on Nonlinear Agents for Resource Allocation over
  Uniformly-Connected Networks
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
Competing Adaptive Networks
Stefan Vlaski
Ali H. Sayed
18
2
0
29 Mar 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity
  and Sparse Gradients
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
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
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
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
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points
Stefan Vlaski
Ali H. Sayed
27
53
0
03 Jul 2019
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