NEXT: In-Network Nonconvex Optimization

1 February 2016

Papers citing "NEXT: In-Network Nonconvex Optimization"

50 / 188 papers shown

Title
Diffusion Learning with Partial Agent Participation and Local Updates Elsa Rizk Kun Yuan Ali H. Sayed 14 0 0 16 May 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 59 0 0 18 Mar 2025
Deep-Relative-Trust-Based Diffusion for Decentralized Deep Learning Muyun Li Aaron Fainman Stefan Vlaski 43 0 0 06 Jan 2025
Fully First-Order Methods for Decentralized Bilevel Optimization Xiaoyu Wang Xuxing Chen Shiqian Ma Tong Zhang 42 0 0 25 Oct 2024
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function Elissa Mhanna Mohamad Assaad 59 4 0 08 Oct 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang Dong-Jun Han Evan Chen Jianing Zhang Christopher G. Brinton 39 6 0 27 Sep 2024
Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret Youqing Hua Shuai Liu Yiguang Hong Karl Henrik Johansson Guangchen Wang 22 2 0 24 Sep 2024
Faster Adaptive Decentralized Learning Algorithms Feihu Huang Jianyu Zhao 61 0 0 19 Aug 2024
Distributed Difference of Convex Optimization Vivek Khatana M. Salapaka 35 0 0 23 Jul 2024
Estimation Network Design framework for efficient distributed optimization M. Bianchi Sergio Grammatico 30 0 0 23 Apr 2024
The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity Tongle Wu Ying Sun 44 0 0 23 Mar 2024
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions Siyuan Zhang Nachuan Xiao Xin Liu 61 1 0 18 Mar 2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach Bin Wang Jun Fang Hongbin Li Yonina C. Eldar FedML 30 1 0 28 Feb 2024
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization Jiaxiang Li Xuxing Chen Shiqian Ma Mingyi Hong ODL 23 2 0 13 Feb 2024
Communication-Efficient Federated Optimization over Semi-Decentralized Networks He Wang Yuejie Chi FedML 44 2 0 30 Nov 2023
A Single-Loop Algorithm for Decentralized Bilevel Optimization Youran Dong Shiqian Ma Junfeng Yang Chao Yin 39 7 0 15 Nov 2023
Optimal Spatial-Temporal Triangulation for Bearing-Only Cooperative Motion Estimation CanLun Zheng Yize Mi Hanqing Guo Huaben Chen Zhiyun Lin Shiyu Zhao 35 4 0 24 Oct 2023
Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization Zhenwei Lin Jingfan Xia Qi Deng Luo Luo 36 3 0 18 Oct 2023
Adaptive Consensus: A network pruning approach for decentralized optimization S. Shah A. Berahas Raghu Bollapragada 30 2 0 06 Sep 2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture Zehan Zhu Ye Tian Yan Huang Jinming Xu Shibo He OOD 32 2 0 21 Jul 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 22 8 0 14 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 37 17 0 28 Jun 2023
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates Siqi Zhang S. Choudhury Sebastian U. Stich Nicolas Loizou FedML 25 3 0 08 Jun 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm Lisang Ding Kexin Jin Bicheng Ying Kun Yuan W. Yin 24 9 0 01 Jun 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa Ryoma Sato Han Bao Kenta Niwa M. Yamada 44 9 0 19 May 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 26 12 0 17 May 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data Sai Aparna Aketi Abolfazl Hashemi Kaushik Roy FedML 32 12 0 08 May 2023
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems Feihu Huang Songcan Chen 20 5 0 21 Apr 2023
Exact Subspace Diffusion for Decentralized Multitask Learning Shreya Wadehra Roula Nassif Stefan Vlaski 21 1 0 14 Apr 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data Haizhou Du Chengdong Ni 22 1 0 01 Mar 2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization Tesi Xiao Xuxing Chen Krishnakumar Balasubramanian Saeed Ghadimi 38 10 0 20 Feb 2023
Policy Evaluation in Decentralized POMDPs with Belief Sharing Mert Kayaalp Fatima Ghadieh Ali H. Sayed 27 2 0 08 Feb 2023
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization Luyao Guo Xinli Shi Jinde Cao Zihao Wang 19 8 0 07 Feb 2023
Distributed Optimization Methods for Multi-Robot Systems: Part II -- A Survey O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 28 19 0 26 Jan 2023
Distributed Optimization Methods for Multi-Robot Systems: Part I -- A Tutorial O. Shorinwa Trevor Halsted Javier Yu Mac Schwager 34 19 0 26 Jan 2023
Decentralized Gradient Tracking with Local Steps Yue Liu Tao R. Lin Anastasia Koloskova Sebastian U. Stich 29 38 0 03 Jan 2023
Decentralized Nonconvex Optimization with Guaranteed Privacy and Accuracy Yongqiang Wang Tamer Basar 31 21 0 14 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 75 5 0 05 Dec 2022
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence Yongqiang Wang 28 4 0 14 Nov 2022
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks Xinmeng Huang Kun Yuan 29 6 0 01 Nov 2022
Networked Signal and Information Processing Stefan Vlaski S. Kar Ali H. Sayed José M. F. Moura 49 16 0 25 Oct 2022
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity Xuxing Chen Minhui Huang Shiqian Ma Krishnakumar Balasubramanian 27 25 0 23 Oct 2022
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate Zhuoqing Song Weijian Li Kexin Jin Lei Shi Ming Yan W. Yin Kun Yuan 24 31 0 14 Oct 2022
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization Kun Yuan Xinmeng Huang Yiming Chen Xiaohan Zhang Yingya Zhang Pan Pan 39 17 0 14 Oct 2022
Zero-Order One-Point Estimate with Distributed Stochastic Gradient-Tracking Technique Elissa Mhanna Mohamad Assaad 38 4 0 11 Oct 2022
Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation Yulun Tian Jonathan P. How 56 7 0 10 Oct 2022
On the Performance of Gradient Tracking with Local Updates Edward Duc Hien Nguyen Sulaiman A. Alghunaim Kun Yuan César A. Uribe 45 19 0 10 Oct 2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 19 1 0 06 Oct 2022
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data Yuki Takezawa Hang Bao Kenta Niwa Ryoma Sato Makoto Yamada 24 19 0 30 Sep 2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology Yan Huang Ying Sun Zehan Zhu Changzhi Yan Jinming Xu FedML 38 15 0 08 Jul 2022