Communication-Efficient Learning of Deep Networks from Decentralized
Data

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

12 / 2,612 papers shown

Title
Together or Alone: The Price of Privacy in Collaborative Learning Balázs Pejó Qiang Tang G. Biczók FedML 27 16 0 01 Dec 2017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney 36 127 0 11 Sep 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 32 179 0 23 Jun 2017
Stochastic Training of Neural Networks via Successive Convex Approximations Simone Scardapane P. Di Lorenzo 24 9 0 15 Jun 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 17 1,782 0 30 May 2017
Continual Learning in Generative Adversarial Nets Ari Seff Alex Beatson Daniel Suo Han Liu GAN 19 132 0 23 May 2017
Distributed Mean Estimation with Limited Communication A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 33 361 0 02 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 186 4,601 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 76 1,877 0 08 Oct 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 25 56 0 30 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing Ryan Spring Anshumali Shrivastava 29 132 0 26 Feb 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014