Asynchronous SGD on Graphs: a Unified Framework for Asynchronous
Decentralized and Federated Optimization

Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization

1 November 2023

Anastasia Koloskova

Laurent Massoulié

Papers citing "Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization"

4 / 4 papers shown

Title
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 39 0 0 28 Apr 2025
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates Cabrel Teguemne Fokam Khaleelulla Khan Nazeer Lukas König David Kappel Anand Subramoney 28 0 0 08 Oct 2024
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein Tahseen Rabbani Evana Wang Amrit Singh Bedi Furong Huang FedML 47 18 0 25 Oct 2022
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 176 267 0 26 Feb 2021