Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs

4 September 2018

Papers citing "Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs"

21 / 21 papers shown

Title
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 29 2 0 30 Nov 2023
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization Zhenwei Lin Jingfan Xia Qi Deng Luo Luo 31 3 0 18 Oct 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 20 8 0 14 Jul 2023
Achieving Consensus over Compact Submanifolds Jiang Hu Jiaojiao Zhang Kangkang Deng 23 3 0 07 Jun 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities Zhuqing Liu Xin Zhang Songtao Lu Jia-Wei Liu 37 7 0 05 Mar 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 36 10 0 20 Feb 2023
On the Performance of Gradient Tracking with Local Updates Edward Duc Hien Nguyen Sulaiman A. Alghunaim Kun Yuan César A. Uribe 37 19 0 10 Oct 2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 17 1 0 06 Oct 2022
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning: Part I Jiaojiao Zhang Huikang Liu Anthony Man-Cho So Qing Ling 18 14 0 19 Jan 2022
Convergence of sequences: a survey Barbara Franci Sergio Grammatico 22 19 0 22 Nov 2021
Exponential Graph is Provably Efficient for Decentralized Deep Training Bicheng Ying Kun Yuan Yiming Chen Hanbin Hu Pan Pan W. Yin FedML 39 83 0 26 Oct 2021
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning Sulaiman A. Alghunaim Kun Yuan 25 57 0 19 Oct 2021
Decentralized Composite Optimization with Compression Yao Li Xiaorui Liu Jiliang Tang Ming Yan Kun Yuan 21 9 0 10 Aug 2021
Decentralized Constrained Optimization: Double Averaging and Gradient Projection Firooz Shahriari-Mehr David Bosch Ashkan Panahi 16 8 0 21 Jun 2021
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 41 493 0 23 Mar 2020
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis Jinming Xu Ye Tian Ying Sun G. Scutari 16 64 0 25 Feb 2020
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 64 30 0 31 Oct 2019
Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani 19 89 0 24 Jul 2019
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 26 10 0 17 Aug 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 35 61 0 17 May 2018
Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems Hoi-To Wai Jean Lafond Anna Scaglione Eric Moulines 69 89 0 05 Dec 2016