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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
Spiking Neural Networks -- Part III: Neuromorphic Communications N. Skatchkovsky Hyeryung Jang Osvaldo Simeone 66 12 0 27 Oct 2020
Federated Learning From Big Data Over Networks Y. Sarcheshmehpour M. Leinonen A. Jung FedML 73 17 0 27 Oct 2020
Optimal Client Sampling for Federated Learning Jiajun He Samuel Horváth Peter Richtárik FedML 110 201 0 26 Oct 2020
Optimal Importance Sampling for Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 84 46 0 26 Oct 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 108 55 0 24 Oct 2020
FedE: Embedding Knowledge Graphs in Federated Setting Yin Hua Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 80 82 0 24 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning Othmane Marfoq Chuan Xu Giovanni Neglia Richard Vidal FedML 161 88 0 23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration Jinliang Yuan Mengwei Xu Xiao Ma Ao Zhou Xuanzhe Liu Shangguang Wang FedML 60 38 0 22 Oct 2020
ASCII: ASsisted Classification with Ignorance Interchange Jiaying Zhou Xun Xian Na Li Jie Ding 44 0 0 21 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 65 15 0 20 Oct 2020
A Federated Learning Approach to Anomaly Detection in Smart Buildings Raed Abdel Sater A. Ben Hamza 70 127 0 20 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 145 113 0 20 Oct 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 70 231 0 20 Oct 2020
A Demonstration of Smart Doorbell Design Using Federated Deep Learning Vatsal Patel Sarth Kanani Tapan Pathak Pankesh Patel M. Ali J. Breslin FedML 24 3 0 19 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 140 92 0 19 Oct 2020
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security Sheng Shen Tianqing Zhu Di Wu Wei Wang Wanlei Zhou FedML OOD 76 79 0 19 Oct 2020
Federated Unsupervised Representation Learning Fengda Zhang Kun Kuang Zhaoyang You Tao Shen Jun Xiao Yin Zhang Chao-Xiang Wu Yueting Zhuang Xiaolin Li FedML 94 137 0 18 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning Fan Mo Anastasia Borovykh Mohammad Malekzadeh Hamed Haddadi Soteris Demetriou FedML 80 31 0 17 Oct 2020
R-GAP: Recursive Gradient Attack on Privacy Junyi Zhu Matthew Blaschko FedML 62 137 0 15 Oct 2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture H. Desai Mustafa Safa Ozdayi Murat Kantarcioglu FedML 128 61 0 14 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 90 81 0 13 Oct 2020
Oort: Efficient Federated Learning via Guided Participant Selection Fan Lai Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML OODD 144 275 0 12 Oct 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Zheng Chai Yujing Chen Ali Anwar Liang Zhao Yue Cheng Huzefa Rangwala FedML 90 124 0 12 Oct 2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms Maruan Al-Shedivat Jennifer Gillenwater Eric Xing Afshin Rostamizadeh FedML 128 112 0 11 Oct 2020
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 101 131 0 10 Oct 2020
Voting-based Approaches For Differentially Private Federated Learning Yuqing Zhu Xiang Yu Yi-Hsuan Tsai Francesco Pittaluga M. Faraki Manmohan Chandraker Yu Wang FedML 77 22 0 09 Oct 2020
Optimal Gradient Compression for Distributed and Federated Learning Alyazeed Albasyoni M. Safaryan Laurent Condat Peter Richtárik FedML 67 64 0 07 Oct 2020
Cognitive Learning-Aided Multi-Antenna Communications Ahmet M. Elbir Kumar Vijay Mishra 89 8 0 07 Oct 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang Zhao Song Keqin Li Sanjeev Arora FedML PICV 103 153 0 06 Oct 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 137 190 0 05 Oct 2020
Specialized federated learning using a mixture of experts Edvin Listo Zec Olof Mogren John Martinsson L. R. Sütfeld D. Gillblad FedML 103 29 0 05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 104 561 0 03 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 167 411 0 03 Oct 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He Basel Alomair FedML 86 121 0 02 Oct 2020
Optimal Task Assignment to Heterogeneous Federated Learning Devices L. Pilla FedML 79 27 0 01 Oct 2020
Communicate to Learn at the Edge Deniz Gunduz David Burth Kurka Mikolaj Jankowski M. Amiri Emre Ozfatura Sreejith Sreekumar 73 64 0 28 Sep 2020
Sense and Learn: Self-Supervision for Omnipresent Sensors Aaqib Saeed Victor Ungureanu Beat Gfeller OOD SSL 84 41 0 28 Sep 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 90 26 0 28 Sep 2020
Over-the-Air Federated Learning from Heterogeneous Data Tomer Sery Nir Shlezinger Kobi Cohen Yonina C. Eldar FedML 122 197 0 27 Sep 2020
Resource-Constrained On-Device Learning by Dynamic Averaging Lukas Heppe Michael Kamp Linara Adilova Danny Heinrich Nico Piatkowski K. Morik 49 2 0 25 Sep 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 102 102 0 24 Sep 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 116 165 0 23 Sep 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 118 33 0 23 Sep 2020
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling Cheng Chen Ziyi Chen Yi Zhou B. Kailkhura FedML 69 62 0 22 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 138 181 0 21 Sep 2020
Training Production Language Models without Memorizing User Data Swaroop Indra Ramaswamy Om Thakkar Rajiv Mathews Galen Andrew H. B. McMahan Franccoise Beaufays FedML 86 92 0 21 Sep 2020
Sparse Communication for Training Deep Networks Negar Foroutan Martin Jaggi FedML 71 17 0 19 Sep 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 75 32 0 18 Sep 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare Matei Grama M. Mușat Luis Muñoz-González Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary OOD FedML 67 48 0 17 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 88 26 0 17 Sep 2020