Securing Distributed Gradient Descent in High Dimensional Statistical
Learning

Securing Distributed Gradient Descent in High Dimensional Statistical Learning

26 April 2018

Lili Su

Jiaming Xu

Papers citing "Securing Distributed Gradient Descent in High Dimensional Statistical Learning"

15 / 15 papers shown

Title
Byzantine Stochastic Gradient Descent Dan Alistarh Zeyuan Allen-Zhu Jingkai Li FedML 46 295 0 23 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 67 1,483 0 05 Mar 2018
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 26 241 0 16 May 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers Jacob Steinhardt Moses Charikar Gregory Valiant 53 138 0 15 Mar 2017
Byzantine-Tolerant Machine Learning Peva Blanchard El-Mahdi El-Mhamdi R. Guerraoui J. Stainer OOD FedML 42 70 0 08 Mar 2017
Being Robust (in High Dimensions) Can Be Practical Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 50 253 0 02 Mar 2017
Learning from Untrusted Data Moses Charikar Jacob Steinhardt Gregory Valiant FedML OOD 67 293 0 07 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 253 4,620 0 18 Oct 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 56 510 0 21 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 198 17,235 0 17 Feb 2016
SparkNet: Training Deep Networks in Spark Philipp Moritz Robert Nishihara Ion Stoica Michael I. Jordan 52 169 0 19 Nov 2015
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 94 733 0 11 Nov 2015
Distributed Robust Learning Jiashi Feng Huan Xu Shie Mannor OOD 33 53 0 21 Sep 2014
Privacy Aware Learning John C. Duchi Michael I. Jordan Martin J. Wainwright 121 290 0 07 Oct 2012
Distributed GraphLab: A Framework for Machine Learning in the Cloud Yucheng Low Joseph E. Gonzalez Aapo Kyrola Danny Bickson Carlos Guestrin J. M. Hellerstein GNN FedML 61 1,069 0 26 Apr 2012