Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

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Title
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Dianbo Liu Timothy A. Miller R. Sayeed K. Mandl FedML OOD 20 59 0 28 Nov 2018
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning Muhammad Shayan Clement Fung Chris J. M. Yoon Ivan Beschastnikh FedML 16 81 0 24 Nov 2018
Hydra: A Peer to Peer Distributed Training & Data Collection Framework Vaibhav Mathur K. Chahal OffRL 24 2 0 24 Nov 2018
WEST: Word Encoded Sequence Transducers Ehsan Variani A. Suresh M. Weintraub 22 9 0 20 Nov 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 27 181 0 09 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks K. Chahal Manraj Singh Grover Kuntal Dey 3DH OOD 6 53 0 28 Oct 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta Mark Sandler A. Zhmoginov Andrew G. Howard 14 68 0 25 Oct 2018
Computation Scheduling for Distributed Machine Learning with Straggling Workers Mohammad Mohammadi Amiri Deniz Gunduz FedML 16 3 0 23 Oct 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 25 282 0 09 Oct 2018
Generalizing the theory of cooperative inference Pei Wang P. Paranamana Patrick Shafto FedML 21 14 0 04 Oct 2018
Universal Multi-Party Poisoning Attacks Saeed Mahloujifar Mohammad Mahmoody Ameer Mohammed AAML 20 43 0 10 Sep 2018
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms Jianyu Wang Gauri Joshi 33 348 0 22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 57 429 0 22 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 34 232 0 13 Aug 2018
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 24 117 0 13 Aug 2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm G. Mendis Yifu Wu Jin Wei Moein Sabounchi Rigoberto Roche' 29 21 0 05 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 13 1,879 0 02 Jul 2018
ATOMO: Communication-efficient Learning via Atomic Sparsification Hongyi Wang Scott Sievert Zachary B. Charles Shengchao Liu S. Wright Dimitris Papailiopoulos 22 351 0 11 Jun 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 51 2,530 0 02 Jun 2018
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 28 486 0 27 May 2018
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 24 46 0 25 May 2018
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 36 212 0 22 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 359 37 0 15 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 35 439 0 07 May 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 137 35 0 26 Apr 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 51 1,376 0 23 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 14 158 0 20 Apr 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT T. D. Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni Nadarajah Asokan A. Sadeghi 69 489 0 20 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 1,688 0 14 Apr 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos 19 243 0 27 Mar 2018
Byzantine Stochastic Gradient Descent Dan Alistarh Zeyuan Allen-Zhu Jingkai Li FedML 24 296 0 23 Mar 2018
Entity Resolution and Federated Learning get a Federated Resolution Richard Nock Stephen Hardy Wilko Henecka Hamish Ivey-Law Giorgio Patrini Guillaume Smith Brian Thorne FedML 29 87 0 11 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 16 1,467 0 05 Mar 2018
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD Sanghamitra Dutta Gauri Joshi Soumyadip Ghosh Parijat Dube P. Nagpurkar 31 194 0 03 Mar 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 34 388 0 22 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 21 70 0 21 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 25 0 0 30 Jan 2018
Differentially Private Distributed Learning for Language Modeling Tasks Vadim Popov Mikhail Kudinov Irina Piontkovskaya Petr Vytovtov A. Nevidomsky FedML 38 3 0 20 Dec 2017
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 62 1,388 0 05 Dec 2017
Learning Discrete Distributions from Untrusted Batches Mingda Qiao Gregory Valiant FedML 25 34 0 22 Nov 2017
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges Muhammad Usama Junaid Qadir Aunn Raza Hunain Arif K. Yau Y. Elkhatib Amir Hussain Ala I. Al-Fuqaha SSL 33 317 0 19 Sep 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
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 29 38 0 04 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 17 1,782 0 30 May 2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics Seyed Ali Osia Ali Shahin Shamsabadi Sina Sajadmanesh A. Taheri Kleomenis Katevas Hamid R. Rabiee Nicholas D. Lane Hamed Haddadi 9 234 0 08 Mar 2017
Distributed deep learning on edge-devices: feasibility via adaptive compression Corentin Hardy Erwan Le Merrer B. Sericola 22 64 0 15 Feb 2017
Randomized Distributed Mean Estimation: Accuracy vs Communication Jakub Konecný Peter Richtárik FedML 33 101 0 22 Nov 2016
Distributed Mean Estimation with Limited Communication A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 33 361 0 02 Nov 2016
Towards Geo-Distributed Machine Learning Ignacio Cano Markus Weimer D. Mahajan Carlo Curino Giovanni Matteo Fumarola 25 56 0 30 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 56 17,088 0 17 Feb 2016