Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data
Optimization

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Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization

16 July 2014

Amir Daneshmand

Vyacheslav Kungurtsev

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

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Title
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks Duong Thuy Anh Nguyen Su Wang Duong Tung Nguyen Angelia Nedich H. Vincent Poor 90 2 0 25 Sep 2024
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 80 4 0 11 Oct 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection Yongqiang Wang H. Vincent Poor 99 37 0 08 May 2022
Representation of Federated Learning via Worst-Case Robust Optimization Theory S. Parsaeefard Iman Tabrizian A. Leon-Garcia FedML 21 3 0 11 Dec 2019
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization Yang Yang M. Pesavento Zhi-Quan Luo Björn E. Ottersten 68 53 0 10 May 2019
Distributed stochastic optimization with gradient tracking over strongly-connected networks Ran Xin Anit Kumar Sahu U. Khan S. Kar 82 113 0 18 Mar 2019
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 99 10 0 17 Aug 2018
Algorithms for solving optimization problems arising from deep neural net models: smooth problems Vyacheslav Kungurtsev Tomás Pevný 45 6 0 30 Jun 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 103 63 0 17 May 2018
Distributed Dictionary Learning Amir Daneshmand G. Scutari F. Facchinei FedML 53 9 0 21 Dec 2016
Distributed Nonconvex Optimization for Sparse Representation Ying Sun G. Scutari 76 19 0 20 Nov 2016
Doubly Random Parallel Stochastic Methods for Large Scale Learning Aryan Mokhtari Alec Koppel Alejandro Ribeiro 39 15 0 22 Mar 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 117 508 0 01 Feb 2016
Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications G. Scutari F. Facchinei Lorenzo Lampariello Peiran Song Stefania Sardellitti 63 258 0 15 Jan 2016
Asynchronous Distributed ADMM for Large-Scale Optimization- Part I: Algorithm and Convergence Analysis Tsung-Hui Chang Mingyi Hong Wei-Cheng Liao Xiangfeng Wang 78 201 0 09 Sep 2015