NEXT: In-Network Nonconvex Optimization

1 February 2016

Papers citing "NEXT: In-Network Nonconvex Optimization"

38 / 188 papers shown

Title
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates Lucas Cassano Kun Yuan Ali H. Sayed 22 39 0 17 Oct 2018
Push-Pull Gradient Methods for Distributed Optimization in Networks Shi Pu Wei Shi Jinming Xu A. Nedić 16 318 0 15 Oct 2018
Second-order Guarantees of Distributed Gradient Algorithms Amir Daneshmand G. Scutari Vyacheslav Kungurtsev 24 59 0 23 Sep 2018
Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs Chang-Shen Lee Nicolò Michelusi G. Scutari 24 8 0 17 Sep 2018
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs G. Scutari Ying Sun 52 172 0 04 Sep 2018
Distributed Big-Data Optimization via Block-wise Gradient Tracking Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 24 20 0 22 Aug 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 48 10 0 17 Aug 2018
Distributed Learning from Interactions in Social Networks Francesco Sasso A. Coluccia G. Notarstefano FedML 6 1 0 04 Jun 2018
Supervised Learning Under Distributed Features Bicheng Ying Kun Yuan Ali H. Sayed 9 43 0 29 May 2018
Distributed Big-Data Optimization via Block Communications Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 26 11 0 27 May 2018
Distributed Stochastic Gradient Tracking Methods Shi Pu A. Nedić 26 287 0 25 May 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 40 61 0 17 May 2018
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 10 13 0 02 May 2018
Deterministic and Randomized Diffusion based Iterative Generalized Hard Thresholding (DiFIGHT) for Distributed Sparse Signal Recovery S. Mukhopadhyay M. Chakraborty 22 3 0 23 Apr 2018
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization Xianghui Mao Kun Yuan Yubin Hu Yuantao Gu Ali H. Sayed W. Yin 24 55 0 18 Apr 2018
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms Haoran Sun Mingyi Hong 16 52 0 08 Apr 2018
Achieving Linear Convergence in Distributed Asynchronous Multi-agent Optimization Ye Tian Ying Sun G. Scutari 11 82 0 28 Mar 2018
A Distributed Stochastic Gradient Tracking Method Shi Pu A. Nedić 29 60 0 21 Mar 2018
A Push-Pull Gradient Method for Distributed Optimization in Networks Shi Pu Wei Shi Jinming Xu A. Nedić 19 98 0 20 Mar 2018
Constraint Coupled Distributed Optimization: a Relaxation and Duality Approach Ivano Notarnicola G. Notarstefano 21 67 0 25 Nov 2017
Zeroth Order Nonconvex Multi-Agent Optimization over Networks Davood Hajinezhad Mingyi Hong Alfredo García 21 79 0 27 Oct 2017
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization A. Nedić Alexander Olshevsky Michael G. Rabbat 11 504 0 26 Sep 2017
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 24 9 0 15 Jun 2017
Interaction-Based Distributed Learning in Cyber-Physical and Social Networks Francesco Sasso A. Coluccia G. Notarstefano FedML 18 8 0 13 Jun 2017
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates Zhi Li W. Shi Ming Yan 20 223 0 25 Apr 2017
A randomized primal distributed algorithm for partitioned and big-data non-convex optimization Ivano Notarnicola G. Notarstefano 16 10 0 24 Mar 2017
Distributed Dictionary Learning Amir Daneshmand G. Scutari F. Facchinei FedML 21 9 0 21 Dec 2016
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 69 90 0 05 Dec 2016
Distributed Nonconvex Optimization for Sparse Representation Ying Sun G. Scutari 28 19 0 20 Nov 2016
A Framework for Parallel and Distributed Training of Neural Networks Simone Scardapane P. Lorenzo FedML 34 26 0 24 Oct 2016
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes A. Nedić Alexander Olshevsky Wei Shi César A. Uribe 12 140 0 19 Sep 2016
On Nonconvex Decentralized Gradient Descent Jinshan Zeng W. Yin 27 192 0 20 Aug 2016
Distributed Optimization of Convex Sum of Non-Convex Functions Shripad Gade Nitin H. Vaidya 30 11 0 18 Aug 2016
Distributed Supervised Learning using Neural Networks Simone Scardapane 34 0 0 21 Jul 2016
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks Ying Sun G. Scutari Daniel P. Palomar 26 89 0 01 Jul 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization Davood Hajinezhad Mingyi Hong T. Zhao Zhaoran Wang 24 45 0 25 May 2016
Coordinate Dual Averaging for Decentralized Online Optimization with Nonseparable Global Objectives Soomin Lee A. Nedić Maxim Raginsky 14 34 0 31 Aug 2015
A Fast Distributed Proximal-Gradient Method Annie I. Chen Asuman Ozdaglar 68 146 0 08 Oct 2012