Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data
Optimization

Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization

16 July 2014

Amir Daneshmand

Vyacheslav Kungurtsev

Papers citing "Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization"

6 / 6 papers shown

Title
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 27 4 0 11 Oct 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection Yongqiang Wang H. Vincent Poor 24 37 0 08 May 2022
Distributed stochastic optimization with gradient tracking over strongly-connected networks Ran Xin Anit Kumar Sahu U. Khan S. Kar 18 111 0 18 Mar 2019
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 41 10 0 17 Aug 2018
Algorithms for solving optimization problems arising from deep neural net models: smooth problems Vyacheslav Kungurtsev Tomás Pevný 21 6 0 30 Jun 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 35 61 0 17 May 2018