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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
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 115 25 0 20 Feb 2020
Byzantine-resilient Decentralized Stochastic Gradient Descent Shangwei Guo Tianwei Zhang Hanzhou Yu Xiaofei Xie Lei Ma Tao Xiang Yang Liu 76 49 0 20 Feb 2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos Dianbo Liu Timothy A. Miller AI4MH 71 36 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 201 580 0 19 Feb 2020
Is Local SGD Better than Minibatch SGD? Blake E. Woodworth Kumar Kshitij Patel Sebastian U. Stich Zhen Dai Brian Bullins H. B. McMahan Ohad Shamir Nathan Srebro FedML 109 254 0 18 Feb 2020
Distributed Optimization over Block-Cyclic Data Yucheng Ding Chaoyue Niu Yikai Yan Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Rongfei Jia FedML 114 16 0 18 Feb 2020
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability Yikai Yan Chaoyue Niu Yucheng Ding Zhenzhe Zheng Fan Wu Guihai Chen Shaojie Tang Zhihua Wu FedML 202 38 0 18 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 121 3 0 18 Feb 2020
Federated Learning with Matched Averaging Hongyi Wang Mikhail Yurochkin Yuekai Sun Dimitris Papailiopoulos Y. Khazaeni FedML 147 1,134 0 15 Feb 2020
Federated Neural Architecture Search Jinliang Yuan Mengwei Xu Yuxin Zhao Kaigui Bian Gang Huang Xuanzhe Liu Shangguang Wang FedML 110 35 0 15 Feb 2020
Gradient tracking and variance reduction for decentralized optimization and machine learning Ran Xin S. Kar U. Khan 54 10 0 13 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 126 173 0 12 Feb 2020
Salvaging Federated Learning by Local Adaptation Tao Yu Eugene Bagdasaryan Vitaly Shmatikov FedML 121 271 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 119 304 0 11 Feb 2020
On the Communication Latency of Wireless Decentralized Learning Navid Naderializadeh 68 3 0 10 Feb 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts Max Ryabinin Anton I. Gusev FedML 101 52 0 10 Feb 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 103 388 0 10 Feb 2020
Better Theory for SGD in the Nonconvex World Ahmed Khaled Peter Richtárik 117 187 0 09 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 112 52 0 06 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 205 47 0 06 Feb 2020
Secure Social Recommendation based on Secret Sharing Chaochao Chen Liang Li Bingzhe Wu Cheng Hong Li Wang Jun Zhou 59 35 0 06 Feb 2020
Cooperative Learning via Federated Distillation over Fading Channels Jinhyun Ahn Osvaldo Simeone Joonhyuk Kang FedML 98 29 0 03 Feb 2020
Prophet: Proactive Candidate-Selection for Federated Learning by Predicting the Qualities of Training and Reporting Phases Huawei Huang Kangying Lin Song Guo Pan Zhou Zibin Zheng 39 7 0 03 Feb 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 126 226 0 01 Feb 2020
Multi-Participant Multi-Class Vertical Federated Learning Siwei Feng Han Yu FedML 84 88 0 30 Jan 2020
FOCUS: Dealing with Label Quality Disparity in Federated Learning Yiqiang Chen Xiaodong Yang Xin Qin Han Yu Biao Chen Zhiqi Shen FedML 80 97 0 29 Jan 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 154 175 0 28 Jan 2020
D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge Xiaoran Cai Xiaopeng Mo Junyang Chen Jie Xu 43 26 0 28 Jan 2020
TiFL: A Tier-based Federated Learning System Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 71 283 0 25 Jan 2020
Mechanism Design for Multi-Party Machine Learning Mengjing Chen Yang Liu Weiran Shen Yiheng Shen Pingzhong Tang Qiang Yang FedML 61 15 0 24 Jan 2020
Stratified cross-validation for unbiased and privacy-preserving federated learning R. Bey Romain Goussault M. Benchoufi R. Porcher FedML 86 12 0 22 Jan 2020
A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency Tien-Dung Cao Tram Truong-Huu H. Tran K. Tran FedML 53 28 0 22 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 98 392 0 21 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 117 318 0 16 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 86 182 0 14 Jan 2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning A. Albaseer Bekir Sait Ciftler M. Abdallah Ala I. Al-Fuqaha 81 18 0 10 Jan 2020
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms Joohyung Jeon Junhui Kim Joongheon Kim Kwangsoo Kim Aziz Mohaisen Jong-Kook Kim FedML 56 25 0 09 Jan 2020
FedDANE: A Federated Newton-Type Method Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 166 155 0 07 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method Bekir Sait Ciftler A. Albaseer Noureddine Lasla M. Abdallah FedML 53 25 0 07 Jan 2020
Think Locally, Act Globally: Federated Learning with Local and Global Representations Paul Pu Liang Terrance Liu Liu Ziyin Nicholas B. Allen Randy P. Auerbach David Brent Ruslan Salakhutdinov Louis-Philippe Morency FedML 137 570 0 06 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 172 671 0 31 Dec 2019
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 76 40 0 30 Dec 2019
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks Zhaoxian Wu Qing Ling Tianyi Chen G. Giannakis FedML AAML 123 186 0 29 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 51 10 0 27 Dec 2019
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 72 311 0 27 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 65 104 0 26 Dec 2019
Attack-Resistant Federated Learning with Residual-based Reweighting Shuhao Fu Chulin Xie Yue Liu Qifeng Chen FedML AAML 114 93 0 24 Dec 2019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 99 169 0 24 Dec 2019
Distributed Fixed Point Methods with Compressed Iterates Sélim Chraibi Ahmed Khaled D. Kovalev Peter Richtárik Adil Salim Martin Takávc FedML 66 17 0 20 Dec 2019
Lightweight and Unobtrusive Data Obfuscation at IoT Edge for Remote Inference Dixing Xu Mengyao Zheng Linshan Jiang Chaojie Gu Rui Tan Peng Cheng 65 18 0 20 Dec 2019