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
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 30 89 0 11 May 2019
Differentially Private Learning with Adaptive Clipping Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 30 331 0 09 May 2019
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances Yufei Han Xiangliang Zhang FedML 11 9 0 08 May 2019
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization Yufei Han Yuzhe Ma Christopher S. Gates Kevin A. Roundy Yun Shen 33 0 0 07 May 2019
Genuinely Distributed Byzantine Machine Learning El-Mahdi El-Mhamdi R. Guerraoui Arsany Guirguis Lê Nguyên Hoang Sébastien Rouault FedML OOD 6 19 0 05 May 2019
Communication trade-offs for synchronized distributed SGD with large step size Kumar Kshitij Patel Aymeric Dieuleveut FedML 30 27 0 25 Apr 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 25 99 0 24 Apr 2019
Galaxy Learning -- A Position Paper Chao Wu Jun Xiao Gang Huang Fei Wu FedML 10 5 0 22 Apr 2019
Unifying Heterogeneous Classifiers with Distillation J. Vongkulbhisal Phongtharin Vinayavekhin M. V. Scarzanella 9 51 0 12 Apr 2019
Robust Coreset Construction for Distributed Machine Learning Hanlin Lu Ming-Ju Li T. He Shiqiang Wang Vijay Narayanan Kevin S. Chan OOD 19 25 0 11 Apr 2019
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation Magdalini Paschali Stefano Gasperini Abhijit Guha Roy Michael Y.-S. Fang Nassir Navab 30 19 0 05 Apr 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 29 186 0 27 Mar 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 30 163 0 26 Mar 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 18 434 0 18 Mar 2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 30 14 0 16 Mar 2019
Communication-efficient distributed SGD with Sketching Nikita Ivkin D. Rothchild Enayat Ullah Vladimir Braverman Ion Stoica R. Arora FedML 22 198 0 12 Mar 2019
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury Samuel W. Remedios Snehashis Roy J. Blaber Camilo Bermudez V. Nath Mayur B. Patel J. Butman Bennett A. Landman Dzung L. Pham OOD 14 16 0 11 Mar 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 29 562 0 10 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 24 1,337 0 07 Mar 2019
One-Shot Federated Learning Neel Guha Ameet Talwalkar Virginia Smith FedML 30 212 0 28 Feb 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions Xudong Sun Andrea Bommert Florian Pfisterer Jörg Rahnenführer Michel Lang B. Bischl FedML 22 12 0 24 Feb 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 18 106 0 22 Feb 2019
Data collaboration analysis for distributed datasets A. Imakura Tetsuya Sakurai FedML 9 3 0 20 Feb 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning Moran Baruch Gilad Baruch Yoav Goldberg FedML 13 492 0 16 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 28 2,276 0 13 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 51 2,635 0 04 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 51 921 0 01 Feb 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 30 182 0 31 Jan 2019
Understanding and Training Deep Diagonal Circulant Neural Networks Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 27 4 0 29 Jan 2019
Distributed Learning with Compressed Gradient Differences Konstantin Mishchenko Eduard A. Gorbunov Martin Takáč Peter Richtárik 21 198 0 26 Jan 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 25 578 0 25 Jan 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Valentina Zantedeschi A. Bellet Marc Tommasi FedML 29 76 0 24 Jan 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 18 88 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 17 6 0 12 Jan 2019
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air Mohammad Mohammadi Amiri Deniz Gunduz 30 53 0 03 Jan 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 41 638 0 30 Dec 2018
Application-driven Privacy-preserving Data Publishing with Correlated Attributes A. Rezaei Chaowei Xiao Jie Gao Bo Li Sirajum Munir 19 14 0 26 Dec 2018
Multi-objective Evolutionary Federated Learning Hangyu Zhu Yaochu Jin FedML 12 235 0 18 Dec 2018
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 38 442 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 18 137 0 17 Dec 2018
Distributed Learning with Sparse Communications by Identification Dmitry Grishchenko F. Iutzeler J. Malick Massih-Reza Amini 19 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 30 100 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 48 615 0 07 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 23 518 0 07 Dec 2018
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang 14 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 59 1,397 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 13 244 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 63 692 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 45 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 30 3 0 29 Nov 2018