Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization

12 April 2016

Papers citing "Asynchronous Stochastic Gradient Descent with Variance Reduction for Non-Convex Optimization"

12 / 12 papers shown

Title
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 50 3 0 06 Oct 2022
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters Zhuqing Liu Xin Zhang Jia-Wei Liu 38 1 0 17 Aug 2022
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning Bin Gu An Xu Zhouyuan Huo Cheng Deng Heng-Chiao Huang FedML 38 28 0 14 Aug 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Yangyang Xu Yibo Xu 35 23 0 31 May 2020
Straggler-Agnostic and Communication-Efficient Distributed Primal-Dual Algorithm for High-Dimensional Data Mining Zhouyuan Huo Heng-Chiao Huang FedML 19 5 0 09 Oct 2019
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I Sandeep Kumar K. Rajawat Daniel P. Palomar 26 4 0 21 Jul 2019
Double Quantization for Communication-Efficient Distributed Optimization Yue Yu Jiaxiang Wu Longbo Huang MQ 19 57 0 25 May 2018
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning Xin Zhang Jia-Wei Liu Zhengyuan Zhu 16 17 0 24 May 2018
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization G. Scutari Ying Sun 40 61 0 17 May 2018
Zeroth Order Nonconvex Multi-Agent Optimization over Networks Davood Hajinezhad Mingyi Hong Alfredo García 21 79 0 27 Oct 2017
Asynchronous Stochastic Block Coordinate Descent with Variance Reduction Bin Gu Zhouyuan Huo Heng-Chiao Huang 28 10 0 29 Oct 2016
Asynchronous Parallel Algorithms for Nonconvex Optimization Loris Cannelli F. Facchinei Vyacheslav Kungurtsev G. Scutari 17 16 0 17 Jul 2016