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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The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 13 558 0 01 Oct 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar Kang G. Shin FedML 30 63 0 27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 21 590 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 38 447 0 26 Sep 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 59 55 0 24 Sep 2019
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu Kuang Xu Dana Yang FedML 33 1 0 21 Sep 2019
Measure Contribution of Participants in Federated Learning Guan Wang Charlie Xiaoqian Dang Ziye Zhou FedML 41 195 0 17 Sep 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun Tianyi Chen G. Giannakis Zaiyue Yang 30 93 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 34 1,181 0 17 Sep 2019
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 31 58 0 14 Sep 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 70 1,117 0 13 Sep 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 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 25 20 0 11 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 38 181 0 11 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 21 22 0 10 Sep 2019
The Disruptions of 5G on Data-driven Technologies and Applications Dumitrel Loghin Shaofeng Cai Gang Chen Tien Tuan Anh Dinh Feiyi Fan ... Wei Wang Xiaokui Xiao Yang Yang Meihui Zhang Zhonghua Zhang 20 64 0 06 Sep 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 33 309 0 05 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 606 0 02 Sep 2019
Towards Effective Device-Aware Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 24 31 0 20 Aug 2019
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Xin Yao Tianchi Huang Chenglei Wu Ruixiao Zhang Lifeng Sun FedML 21 38 0 16 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 39 599 0 30 Jul 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 21 30 0 30 Jul 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 54 93 0 27 Jul 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 33 508 0 23 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 34 705 0 22 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 22 978 0 19 Jul 2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost Mengwei Yang Linqi Song Jie Xu Congduan Li Guozhen Tan FedML 26 30 0 16 Jul 2019
Federated Reinforcement Distillation with Proxy Experience Memory Han Cha Jihong Park Hyesung Kim Seong-Lyun Kim M. Bennis 10 16 0 15 Jul 2019
Multi-hop Federated Private Data Augmentation with Sample Compression Eunjeong Jeong Seungeun Oh Jihong Park Hyesung Kim M. Bennis Seong-Lyun Kim 33 17 0 15 Jul 2019
Privacy-Preserving Classification with Secret Vector Machines Valentin Hartmann Konark Modi J. M. Pujol Robert West 23 14 0 08 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 112 2,290 0 04 Jul 2019
Proof of Witness Presence: Blockchain Consensus for Augmented Democracy in Smart Cities Evangelos Pournaras 17 61 0 30 Jun 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 43 2,163 0 21 Jun 2019
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model Badih Ghazi Rasmus Pagh A. Velingker FedML 24 98 0 19 Jun 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 160 0 14 Jun 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 21 309 0 11 Jun 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 33 354 0 06 Jun 2019
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 10 467 0 28 May 2019
Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang Y. Khazaeni FedML 17 720 0 28 May 2019
Fair Resource Allocation in Federated Learning Tian Li Maziar Sanjabi Ahmad Beirami Virginia Smith FedML 18 783 0 25 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 28 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 44 1,421 0 24 May 2019
Federated Forest Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 16 144 0 24 May 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 29 169 0 23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data Ryo Yonetani Tomohiro Takahashi Atsushi Hashimoto Yoshitaka Ushiku 45 24 0 23 May 2019
MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling Jianyu Wang Anit Kumar Sahu Zhouyi Yang Gauri Joshi S. Kar 29 159 0 23 May 2019
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data Naoya Yoshida Takayuki Nishio M. Morikura Koji Yamamoto Ryo Yonetani 32 137 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 25 305 0 16 May 2019
Differentially Private Learning with Adaptive Clipping Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 30 331 0 09 May 2019