Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

33 / 733 papers shown

Title
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 18 441 0 18 Dec 2018
Distributed Learning with Sparse Communications by Identification Dmitry Grishchenko F. Iutzeler J. Malick Massih-Reza Amini 11 19 0 10 Dec 2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 20 615 0 07 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 21 518 0 07 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 16 776 0 03 Dec 2018
Joint Service Pricing and Cooperative Relay Communication for Federated Learning Shaohan Feng Dusit Niyato Ping Wang Dong In Kim Ying-Chang Liang FedML 30 106 0 29 Nov 2018
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data Eunjeong Jeong Seungeun Oh Hyesung Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 17 591 0 28 Nov 2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Dianbo Liu Timothy A. Miller R. Sayeed K. Mandl FedML OOD 15 59 0 28 Nov 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 13 282 0 09 Oct 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 40 77 0 31 Jul 2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm G. Mendis Yifu Wu Jin Wei Moein Sabounchi Rigoberto Roche' 19 21 0 05 Jul 2018
A Distributed Flexible Delay-tolerant Proximal Gradient Algorithm Konstantin Mishchenko F. Iutzeler J. Malick 11 22 0 25 Jun 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 29 97 0 14 Jun 2018
Accelerated Randomized Coordinate Descent Algorithms for Stochastic Optimization and Online Learning Akshita Bhandari C. Singh ODL 12 0 0 05 Jun 2018
How Much Are You Willing to Share? A "Poker-Styled" Selective Privacy Preserving Framework for Recommender Systems Manoj Reddy Dareddy Ariyam Das Junghoo Cho C. Zaniolo 17 0 0 04 Jun 2018
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 8 46 0 25 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 357 37 0 15 May 2018
Federated Learning for Ultra-Reliable Low-Latency V2V Communications S. Samarakoon M. Bennis Walid Saad Merouane Debbah 11 226 0 11 May 2018
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks Wenbo Wang D. Hoang Peizhao Hu Zehui Xiong Dusit Niyato Ping Wang Yonggang Wen Dong In Kim 24 736 0 07 May 2018
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs Ursula Challita A. Ferdowsi Mingzhe Chen Walid Saad 11 171 0 15 Apr 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 25 0 0 30 Jan 2018
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne FedML 19 531 0 29 Nov 2017
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization Shusen Wang Farbod Roosta-Khorasani Peng Xu Michael W. Mahoney 33 127 0 11 Sep 2017
Variance-Reduced Stochastic Learning by Networked Agents under Random Reshuffling Kun Yuan Bicheng Ying Jiageng Liu Ali H. Sayed 11 4 0 04 Aug 2017
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections Sujith Ravi 13 62 0 02 Aug 2017
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 23 38 0 04 Jul 2017
Glimmers: Resolving the Privacy/Trust Quagmire David Lie Petros Maniatis 20 14 0 24 Feb 2017
Randomized Distributed Mean Estimation: Accuracy vs Communication Jakub Konecný Peter Richtárik FedML 17 101 0 22 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 36 4,588 0 18 Oct 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 11 56 0 30 Mar 2016
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 90 736 0 19 Mar 2014
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 177 683 0 07 Dec 2010