Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays

16 May 2024

Papers citing "Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays"

6 / 6 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
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 54 0 0 02 Apr 2025
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization Mathieu Even Anastasia Koloskova Laurent Massoulié FedML 38 13 0 01 Nov 2023
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani César A. Uribe FedML 35 14 0 03 Oct 2022
Delay-adaptive step-sizes for asynchronous learning Xuyang Wu Sindri Magnússon Hamid Reza Feyzmahdavian M. Johansson 23 14 0 17 Feb 2022
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021