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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
Facilitating Rapid Prototyping in the OODIDA Data Analytics Platform via Active-Code Replacement G. Ulm Simon Smith Adrian Nilsson E. Gustavsson Mats Jirstrand 17 5 0 22 Mar 2019
Patient Clustering Improves Efficiency of Federated Machine Learning to predict mortality and hospital stay time using distributed Electronic Medical Records Li Huang Dianbo Liu OOD FedML 100 372 0 22 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
Distributed stochastic optimization with gradient tracking over strongly-connected networks Ran Xin Anit Kumar Sahu U. Khan S. Kar 89 113 0 18 Mar 2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 69 14 0 16 Mar 2019
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML AAML 82 262 0 10 Mar 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 100 577 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
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training Chengjie Li Ruixuan Li Yining Qi Yuhua Li Pan Zhou Song Guo Keqin Li 88 16 0 21 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
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects Linshan Jiang Rui Tan Xin Lou Guosheng Lin 65 46 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
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 94 511 0 01 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 197 945 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
Robust Learning from Untrusted Sources Nikola Konstantinov Christoph H. Lampert FedML OOD 92 72 0 29 Jan 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 118 276 0 29 Jan 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images Jin Chao Ahmad Al Badawi Balagopal Unnikrishnan Jie Lin Chan Fook Mun ... Michael Chiang Jayashree Kalpathy-Cramer V. Chandrasekhar Pavitra Krishnaswamy Khin Mi Mi Aung 32 21 0 29 Jan 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning Chao Qu Shie Mannor Huan Xu Yuan Qi Le Song Junwu Xiong 84 44 0 27 Jan 2019
DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization Parvin Nazari Davoud Ataee Tarzanagh George Michailidis ODL 103 68 0 25 Jan 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Valentina Zantedeschi A. Bellet Marc Tommasi FedML 127 81 0 24 Jan 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 78 90 0 24 Jan 2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems Boyi Liu Lujia Wang Ming-Yuan Liu 98 253 0 19 Jan 2019
TensorFlow.js: Machine Learning for the Web and Beyond D. Smilkov Nikhil Thorat Yannick Assogba Ann Yuan Nick Kreeger ... D. Sculley R. Monga G. Corrado F. Viégas Martin Wattenberg 118 174 0 16 Jan 2019
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air Mohammad Mohammadi Amiri Deniz Gunduz 89 53 0 03 Jan 2019
Clustering with Distributed Data S. Kar Brian Swenson 97 8 0 01 Jan 2019
Federated Learning via Over-the-Air Computation Kai Yang Tao Jiang Yuanming Shi Z. Ding FedML 111 887 0 31 Dec 2018
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 128 654 0 30 Dec 2018
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 84 29 0 18 Dec 2018
Multi-objective Evolutionary Federated Learning Hangyu Zhu Yaochu Jin FedML 79 240 0 18 Dec 2018
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 127 451 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 85 142 0 17 Dec 2018
Stochastic Distributed Optimization for Machine Learning from Decentralized Features Yaochen Hu Di Niu Jianming Yang Shengping Zhou 66 5 0 16 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 406 5,300 0 14 Dec 2018
No Peek: A Survey of private distributed deep learning Praneeth Vepakomma Tristan Swedish Ramesh Raskar O. Gupta Abhimanyu Dubey SyDa FedML 86 100 0 08 Dec 2018
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning Tianyi Chen Jianchao Tan G. Giannakis Tamer Basar OffRL 100 41 0 07 Dec 2018
A Hybrid Approach to Privacy-Preserving Federated Learning Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou FedML 86 907 0 07 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 106 627 0 07 Dec 2018
Wireless Network Intelligence at the Edge Jihong Park S. Samarakoon M. Bennis Mérouane Debbah 121 521 0 07 Dec 2018
Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission Dongzhu Liu Guangxu Zhu Jun Zhang Kaibin Huang 88 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 196 1,428 0 03 Dec 2018
Protection Against Reconstruction and Its Applications in Private Federated Learning Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan M. Rogers FedML 99 362 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 68 251 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 125 714 0 03 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 102 788 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 152 70 0 30 Nov 2018