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A Robust Gradient Tracking Method for Distributed Optimization over
  Directed Networks

A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks

31 March 2020
Shi Pu
ArXivPDFHTML

Papers citing "A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks"

3 / 3 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
51
4
0
08 Oct 2024
A Robust Dynamic Average Consensus Algorithm that Ensures both
  Differential Privacy and Accurate Convergence
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence
Yongqiang Wang
21
4
0
14 Nov 2022
Swarming for Faster Convergence in Stochastic Optimization
Swarming for Faster Convergence in Stochastic Optimization
Shi Pu
Alfredo García
37
16
0
11 Jun 2018
1