Communication Efficient Distributed Optimization using an Approximate
Newton-type Method

Communication Efficient Distributed Optimization using an Approximate Newton-type Method

30 December 2013

Tong Zhang

Papers citing "Communication Efficient Distributed Optimization using an Approximate Newton-type Method"

9 / 9 papers shown

Title
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis Ruichen Luo Sebastian U Stich Samuel Horváth Martin Takáč 71 0 0 08 Jan 2025
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 64 2 0 17 May 2024
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization Mathieu Even Laurent Massoulié 41 14 0 04 Feb 2021
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 66 217 0 08 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 48 15 0 06 Aug 2020
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 137 13 0 23 Oct 2019
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 112 1,031 0 10 Sep 2012
A Reliable Effective Terascale Linear Learning System Alekh Agarwal O. Chapelle Miroslav Dudík John Langford 76 418 0 19 Oct 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods Andrew Cotter Ohad Shamir Nathan Srebro Karthik Sridharan ODL 93 313 0 22 Jun 2011