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Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,868 papers shown

Title
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 78 90 0 24 Jan 2019
NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications MyungJoo Ham Jijoong Moon Geunsik Lim Wook Song Jaeyun Jung ... Sangjung Woo Youngchul Cho Jinhyuck Park Sewon Oh Hong-Seok Kim 19 6 0 12 Jan 2019
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air Mohammad Mohammadi Amiri Deniz Gunduz 89 53 0 03 Jan 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 125 654 0 30 Dec 2018
Application-driven Privacy-preserving Data Publishing with Correlated Attributes A. Rezaei Chaowei Xiao Jie Gao Yue Liu Sirajum Munir 51 14 0 26 Dec 2018
Multi-objective Evolutionary Federated Learning Hangyu Zhu Yaochu Jin FedML 79 240 0 18 Dec 2018
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 127 451 0 18 Dec 2018
Learning Private Neural Language Modeling with Attentive Aggregation Shaoxiong Ji Shirui Pan Guodong Long Xue Li Jing Jiang Zi Huang FedML MoMe 85 142 0 17 Dec 2018
Distributed Learning with Sparse Communications by Identification Dmitry Grishchenko F. Iutzeler J. Malick Massih-Reza Amini 64 19 0 10 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 86 100 0 08 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 106 627 0 07 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 119 521 0 07 Dec 2018
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang 88 41 0 05 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 184 1,428 0 03 Dec 2018
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 68 251 0 03 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 125 714 0 03 Dec 2018
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data Li Huang Yifeng Yin Z. Fu Shifa Zhang Hao Deng Dianbo Liu FedML 152 70 0 30 Nov 2018
Data-parallel distributed training of very large models beyond GPU capacity Samuel Matzek M. Grossman Minsik Cho Anar Yusifov Bryant Nelson A. Juneja GNN 36 3 0 29 Nov 2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record Dianbo Liu Timothy A. Miller R. Sayeed K. Mandl FedML OOD 88 62 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 102 82 0 24 Nov 2018
Hydra: A Peer to Peer Distributed Training & Data Collection Framework Vaibhav Mathur K. Chahal OffRL 35 2 0 24 Nov 2018
WEST: Word Encoded Sequence Transducers Ehsan Variani A. Suresh M. Weintraub 48 9 0 20 Nov 2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 137 181 0 09 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks K. Chahal Manraj Singh Grover Kuntal Dey 3DH OOD 92 54 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 89 69 0 25 Oct 2018
Computation Scheduling for Distributed Machine Learning with Straggling Workers Mohammad Mohammadi Amiri Deniz Gunduz FedML 104 3 0 23 Oct 2018
Federated Learning for Keyword Spotting David Leroy A. Coucke Thibaut Lavril Thibault Gisselbrecht Joseph Dureau FedML 113 289 0 09 Oct 2018
Generalizing the theory of cooperative inference Pei Wang P. Paranamana Patrick Shafto FedML 81 14 0 04 Oct 2018
Universal Multi-Party Poisoning Attacks Saeed Mahloujifar Mohammad Mahmoody Ameer Mohammed AAML 66 47 0 10 Sep 2018
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms Jianyu Wang Gauri Joshi 198 350 0 22 Aug 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 131 432 0 22 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 125 236 0 13 Aug 2018
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 114 121 0 13 Aug 2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm G. Mendis Yifu Wu Jin Wei Moein Sabounchi Rigoberto Roche' 98 21 0 05 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 158 1,945 0 02 Jul 2018
ATOMO: Communication-efficient Learning via Atomic Sparsification Hongyi Wang Scott Sievert Zachary B. Charles Shengchao Liu S. Wright Dimitris Papailiopoulos 110 356 0 11 Jun 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 194 2,610 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 136 492 0 27 May 2018
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 87 46 0 25 May 2018
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication Felix Sattler Simon Wiedemann K. Müller Wojciech Samek MQ 68 216 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 443 37 0 15 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 110 445 0 07 May 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 224 35 0 26 Apr 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 166 1,417 0 23 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks Eunhyeok Park S. Yoo Peter Vajda MQ 69 163 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 205 497 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 274 1,729 0 14 Apr 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos 79 249 0 27 Mar 2018
Byzantine Stochastic Gradient Descent Dan Alistarh Zeyuan Allen-Zhu Jingkai Li FedML 81 297 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 97 87 0 11 Mar 2018