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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

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

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Title
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Fajie Yuan Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 146 121 0 22 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 351 6,391 0 22 Oct 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 71 135 0 22 Oct 2019
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence N. Skatchkovsky Hyeryung Jang Osvaldo Simeone FedML 52 38 0 21 Oct 2019
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach H. T. Nguyen Nguyen Cong Luong Jun Zhao Chau Yuen Dusit Niyato 67 58 0 21 Oct 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 97 53 0 21 Oct 2019
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data Kevin Hsieh SyDa OOD 50 4 0 18 Oct 2019
Federated Generative Privacy Aleksei Triastcyn Boi Faltings FedML 72 63 0 18 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 85 72 0 18 Oct 2019
Overcoming Forgetting in Federated Learning on Non-IID Data N. Shoham Tomer Avidor Aviv Keren Nadav Tal-Israel Daniel Benditkis Liron Mor Yosef Itai Zeitak CLL FedML 137 227 0 17 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 77 348 0 14 Oct 2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 85 63 0 14 Oct 2019
Federated Transfer Reinforcement Learning for Autonomous Driving Xinle Liang Yang Liu Tianjian Chen Ming-Yuan Liu Qiang Yang 62 116 0 14 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 215 241 0 12 Oct 2019
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training José Á. Morell Andrés Camero Enrique Alba 63 9 0 12 Oct 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks Chaoyang He Conghui Tan Hanlin Tang Shuang Qiu Ji Liu FedML 77 75 0 11 Oct 2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning Yuqing Du Sheng Yang Kaibin Huang 149 100 0 09 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 119 867 0 08 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 122 76 0 08 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent Wei Liu Li Chen Yunfei Chen Wenyi Zhang FedML AI4CE 88 294 0 08 Oct 2019
Differential Privacy-enabled Federated Learning for Sensitive Health Data Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML OOD 103 177 0 07 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 43 9 0 04 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 217 1,019 0 04 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 117 319 0 03 Oct 2019
Privacy-preserving Federated Brain Tumour Segmentation Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox ... Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso Andrew Feng FedML 86 484 0 02 Oct 2019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum Jianyu Wang Vinayak Tantia Nicolas Ballas Michael G. Rabbat 111 201 0 01 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 207 577 0 01 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 285 777 0 28 Sep 2019
Active Federated Learning Jack Goetz Kshitiz Malik D. Bui Seungwhan Moon Honglei Liu Anuj Kumar FedML 69 139 0 27 Sep 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar Kang G. Shin FedML 98 64 0 27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 106 606 0 27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 179 471 0 26 Sep 2019
Matrix Sketching for Secure Collaborative Machine Learning Mengjiao Zhang Shusen Wang FedML 66 14 0 24 Sep 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 116 57 0 24 Sep 2019
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu Kuang Xu Dana Yang FedML 78 1 0 21 Sep 2019
Challenges of Privacy-Preserving Machine Learning in IoT Mengyao Zheng Dixing Xu Linshan Jiang Chaojie Gu Rui Tan Peng Cheng 34 27 0 21 Sep 2019
How Does Batch Normalization Help Binary Training? Eyyub Sari Mouloud Belbahri V. Nia MQ 47 27 0 18 Sep 2019
Measure Contribution of Participants in Federated Learning Guan Wang Charlie Xiaoqian Dang Ziye Zhou FedML 111 200 0 17 Sep 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun Tianyi Chen G. Giannakis Zaiyue Yang 88 95 0 17 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 131 1,199 0 17 Sep 2019
BAFFLE : Blockchain Based Aggregator Free Federated Learning P. Ramanan K. Nakayama FedML 61 173 0 16 Sep 2019
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 93 58 0 14 Sep 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 193 1,174 0 13 Sep 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 142 109 0 12 Sep 2019
Machine Learning in/for Blockchain: Future and Challenges Fang Chen Hong Wan Hua Cai Guangquan Cheng 101 39 0 12 Sep 2019
The Error-Feedback Framework: Better Rates for SGD with Delayed Gradients and Compressed Communication Sebastian U. Stich Sai Praneeth Karimireddy FedML 80 20 0 11 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 85 186 0 11 Sep 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 109 435 0 10 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 43 22 0 10 Sep 2019
First Analysis of Local GD on Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik FedML 113 172 0 10 Sep 2019