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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
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 71 327 0 12 Jun 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 58 1 0 10 Jun 2019
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices Jie Liu Jiawen Liu Wan Du Dong Li HAI 52 5 0 10 Jun 2019
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen Tiancong Chen Haoran Sun Zhiwei Steven Wu Mingyi Hong FedML 64 74 0 04 Jun 2019
Federated Hierarchical Hybrid Networks for Clickbait Detection Feng Liao Hankui Zhuo Xiaoling Huang Yu Zhang FedML 37 5 0 03 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 114 322 0 31 May 2019
Distributed estimation of the inverse Hessian by determinantal averaging Michal Derezinski Michael W. Mahoney 67 31 0 28 May 2019
Natural Compression for Distributed Deep Learning Samuel Horváth Chen-Yu Ho L. Horvath Atal Narayan Sahu Marco Canini Peter Richtárik 101 151 0 27 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 79 25 0 24 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 142 1,453 0 24 May 2019
Federated Forest Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 77 146 0 24 May 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 85 175 0 23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data Ryo Yonetani Tomohiro Takahashi Atsushi Hashimoto Yoshitaka Ushiku 92 24 0 23 May 2019
Approximating probabilistic models as weighted finite automata A. Suresh Brian Roark Michael Riley Vlad Schogol 98 11 0 21 May 2019
Knowledge Transferring via Model Aggregation for Online Social Care Shaoxiong Ji Guodong Long Shirui Pan Tianqing Zhu Jing Jiang Sen Wang Xue Li 35 0 0 19 May 2019
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data Naoya Yoshida Takayuki Nishio M. Morikura Koji Yamamoto Ryo Yonetani 77 138 0 17 May 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger FedML OOD MedIm 95 309 0 16 May 2019
Federated Multi-task Hierarchical Attention Model for Sensor Analytics Yujing Chen Yue Ning Zheng Chai Huzefa Rangwala 54 6 0 13 May 2019
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 71 92 0 11 May 2019
Differentially Private Learning with Adaptive Clipping Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 108 344 0 09 May 2019
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances Yufei Han Xiangliang Zhang FedML 58 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 114 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 78 19 0 05 May 2019
Communication trade-offs for synchronized distributed SGD with large step size Kumar Kshitij Patel Hadrien Hendrikx FedML 66 27 0 25 Apr 2019
Low-Memory Neural Network Training: A Technical Report N. Sohoni Christopher R. Aberger Megan Leszczynski Jian Zhang Christopher Ré 94 103 0 24 Apr 2019
Galaxy Learning -- A Position Paper Chao Wu Jun Xiao Gang Huang Leilei Gan FedML 17 5 0 22 Apr 2019
Unifying Heterogeneous Classifiers with Distillation J. Vongkulbhisal Phongtharin Vinayavekhin M. V. Scarzanella 65 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 83 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 67 21 0 05 Apr 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 87 193 0 27 Mar 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 92 165 0 26 Mar 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 75 454 0 18 Mar 2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 67 14 0 16 Mar 2019
Communication-efficient distributed SGD with Sketching Nikita Ivkin D. Rothchild Enayat Ullah Vladimir Braverman Ion Stoica R. Arora FedML 99 202 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 31 16 0 11 Mar 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 98 577 0 10 Mar 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 81 1,371 0 07 Mar 2019
One-Shot Federated Learning Neel Guha Ameet Talwalkar Virginia Smith FedML 67 219 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 84 12 0 24 Feb 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 132 110 0 22 Feb 2019
Data collaboration analysis for distributed datasets A. Imakura Tetsuya Sakurai FedML 24 3 0 20 Feb 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning Moran Baruch Gilad Baruch Yoav Goldberg FedML 65 515 0 16 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 95 2,353 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 139 2,685 0 04 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 189 945 0 01 Feb 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 140 189 0 31 Jan 2019
Understanding and Training Deep Diagonal Circulant Neural Networks Alexandre Araujo Benjamin Négrevergne Y. Chevaleyre Jamal Atif 146 4 0 29 Jan 2019
Distributed Learning with Compressed Gradient Differences Konstantin Mishchenko Eduard A. Gorbunov Martin Takáč Peter Richtárik 142 202 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 118 588 0 25 Jan 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Valentina Zantedeschi A. Bellet Marc Tommasi FedML 119 81 0 24 Jan 2019