Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability

16 June 2025

Papers citing "Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability"

11 / 11 papers shown

Title
Federated Learning of Gboard Language Models with Differential Privacy Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 86 81 0 29 May 2023
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang Rudrajit Das Gauri Joshi Satyen Kale Zheng Xu Tong Zhang FedML 82 40 0 09 Jun 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 273 421 0 14 Jul 2021
Fast Margin Maximization via Dual Acceleration Ziwei Ji Nathan Srebro Matus Telgarsky 53 39 0 01 Jul 2021
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 179 1,448 0 29 Feb 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski Maciej Szymczak Stanislav Fort Devansh Arpit Jacek Tabor Kyunghyun Cho Krzysztof J. Geras 83 163 0 21 Feb 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 74 254 0 18 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,276 0 10 Dec 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 81 274 0 31 Oct 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 74 435 0 10 Sep 2019
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 183 1,067 0 24 May 2018