An Efficient Framework for Clustered Federated Learning

An Efficient Framework for Clustered Federated Learning

7 June 2020

Kannan Ramchandran

Papers citing "An Efficient Framework for Clustered Federated Learning"

11 / 61 papers shown

Title
Phase retrieval with random Gaussian sensing vectors by alternating projections Irène Waldspurger 59 97 0 10 Sep 2016
Ten Steps of EM Suffice for Mixtures of Two Gaussians C. Daskalakis Christos Tzamos Manolis Zampetakis 242 121 0 01 Sep 2016
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization Xinyang Yi Constantine Caramanis Sujay Sanghavi 60 60 0 19 Aug 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 268 477 0 09 Aug 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks Ian Goodfellow M. Berk Mirza Xia Da Aaron Courville Yoshua Bengio 137 1,439 0 21 Dec 2013
Learning Mixtures of Linear Classifiers Yuekai Sun Stratis Ioannidis Andrea Montanari 65 22 0 11 Nov 2013
Phase Retrieval using Alternating Minimization Praneeth Netrapalli Prateek Jain Sujay Sanghavi 201 632 0 02 Jun 2013
Low-rank Matrix Completion using Alternating Minimization Prateek Jain Praneeth Netrapalli Sujay Sanghavi 207 1,065 0 03 Dec 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 183 2,273 0 28 Jun 2011
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 257 685 0 07 Dec 2010