A general framework for decentralized optimization with first-order
methods

A general framework for decentralized optimization with first-order methods

12 September 2020

Papers citing "A general framework for decentralized optimization with first-order methods"

12 / 12 papers shown

Title
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration Yuchen Hu Xi Chen Weidong Liu Xiaojun Mao 67 0 0 31 Jan 2025
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks Daniel Pérez Herrera Zheng Chen Erik G. Larsson 33 1 0 24 Jan 2024
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 26 12 0 17 May 2023
Non-Coherent Over-the-Air Decentralized Gradient Descent Nicolò Michelusi 34 6 0 19 Nov 2022
Secure Distributed Optimization Under Gradient Attacks Shuhua Yu S. Kar 39 14 0 28 Oct 2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 19 1 0 06 Oct 2022
Efficiency Ordering of Stochastic Gradient Descent Jie Hu Vishwaraj Doshi Do Young Eun 31 6 0 15 Sep 2022
Distributed Finite-Sum Constrained Optimization subject to Nonlinearity on the Node Dynamics Mohammadreza Doostmohammadian Maria Vrakopoulou Alireza Aghasi Themistoklis Charalambous 20 4 0 28 Mar 2022
Decentralized Constrained Optimization: Double Averaging and Gradient Projection Firooz Shahriari-Mehr David Bosch Ashkan Panahi 18 8 0 21 Jun 2021
Distributed support-vector-machine over dynamic balanced directed networks Mohammadreza Doostmohammadian Alireza Aghasi Themistoklis Charalambous U. Khan 17 32 0 01 Apr 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization Ran Xin U. Khan S. Kar 33 39 0 12 Feb 2021
An improved convergence analysis for decentralized online stochastic non-convex optimization Ran Xin U. Khan S. Kar 41 100 0 10 Aug 2020