Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression

29 October 2023

Papers citing "Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression"

4 / 4 papers shown

Title
Second-Order Convergence in Private Stochastic Non-Convex Optimization Youming Tao Zuyuan Zhang Dongxiao Yu Xiuzhen Cheng Falko Dressler Di Wang 12 0 0 21 May 2025
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 44 0 0 28 Apr 2025
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression Laurent Condat Artavazd Maranjyan Peter Richtárik 54 4 0 07 Mar 2024
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback Ilyas Fatkhullin Igor Sokolov Eduard A. Gorbunov Zhize Li Peter Richtárik 51 46 0 07 Oct 2021