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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
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning Anis Elgabli Jihong Park Chaouki Ben Issaid M. Bennis 94 56 0 03 Jul 2020
Privacy Threats Against Federated Matrix Factorization Dashan Gao Ben Tan Ce Ju V. Zheng Qiang Yang 83 13 0 03 Jul 2020
Tilted Empirical Risk Minimization Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith 97 136 0 02 Jul 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 151 281 0 02 Jul 2020
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy Nuria Rodríguez Barroso G. Stipcich Daniel Jiménez-López José Antonio Ruiz-Millán Eugenio Martínez-Cámara Gerardo González-Seco M. V. Luzón M. Veganzones Francisco Herrera 81 103 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 100 54 0 02 Jul 2020
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Yunfei Song Tian Liu Tongquan Wei Xiangfeng Wang Zhe Tao Mingsong Chen 108 50 0 28 Jun 2020
Federated Mutual Learning Tao Shen Jie Zhang Xinkang Jia Fengda Zhang Gang Huang Pan Zhou Kun Kuang Leilei Gan Chao-Xiang Wu FedML 103 124 0 27 Jun 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 72 148 0 26 Jun 2020
Bidirectional compression in heterogeneous settings for distributed or federated learning with partial participation: tight convergence guarantees Constantin Philippenko Hadrien Hendrikx FedML 101 51 0 25 Jun 2020
Towards Differentially Private Text Representations Lingjuan Lyu Yitong Li Xuanli He Tong Xiao 72 39 0 25 Jun 2020
Local Stochastic Approximation: A Unified View of Federated Learning and Distributed Multi-Task Reinforcement Learning Algorithms Thinh T. Doan FedML 66 10 0 24 Jun 2020
Security and Privacy Preserving Deep Learning Saichethan Miriyala Reddy Saisree Miriyala FedML PILM 53 2 0 23 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong Jaehong Yoon Eunho Yang Sung Ju Hwang FedML 100 224 0 22 Jun 2020
D2P-Fed: Differentially Private Federated Learning With Efficient Communication Lun Wang R. Jia Dawn Song FedML 33 0 0 22 Jun 2020
Byzantine-Resilient High-Dimensional Federated Learning Deepesh Data Suhas Diggavi FedML AAML 81 42 0 22 Jun 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 85 131 0 21 Jun 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization D. Kovalev Adil Salim Peter Richtárik 73 83 0 21 Jun 2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks Lixin Fan Kam Woh Ng Ce Ju Tianyu Zhang Chang Liu Chee Seng Chan Qiang Yang MIACV 39 64 0 20 Jun 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu Kiarash Shaloudegi Guojun Zhang Yaoliang Yu FedML 87 99 0 20 Jun 2020
FedFMC: Sequential Efficient Federated Learning on Non-iid Data Kavya Kopparapu Eric Lin FedML 69 35 0 19 Jun 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 123 133 0 18 Jun 2020
Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening A. Kharat V. Duddalwar Krishna Saoji A. Gaikwad V. Kulkarni ... R. Lokwani Swaraj Kasliwal Sudeep Kondal T. Gupte Aniruddha Pant 41 5 0 18 Jun 2020
FedCD: Improving Performance in non-IID Federated Learning Kavya Kopparapu Eric Lin Jessica Zhao FedML 87 35 0 17 Jun 2020
Differentially-private Federated Neural Architecture Search Ishika Singh Haoyi Zhou Kunlin Yang Mengxiao Ding Bill Lin P. Xie FedML 91 22 0 16 Jun 2020
Federated Survival Analysis with Discrete-Time Cox Models M. Andreux Andre Manoel Romuald Menuet C. Saillard C. Simpson FedML 124 40 0 16 Jun 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 104 180 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 107 167 0 16 Jun 2020
Personalized Federated Learning with Moreau Envelopes Canh T. Dinh N. H. Tran Tuan Dung Nguyen FedML 104 1,016 0 16 Jun 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen Tribhuvanesh Orekondy Mario Fritz SyDa 78 186 0 15 Jun 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 141 75 0 15 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 122 57 0 14 Jun 2020
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 98 47 0 12 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction Georgios Damaskinos R. Guerraoui Anne-Marie Kermarrec Vlad Nitu Rhicheek Patra Francois Taiani 99 55 0 12 Jun 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning Tao R. Lin Lingjing Kong Sebastian U. Stich Martin Jaggi FedML 153 1,063 0 12 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 108 145 0 12 Jun 2020
Federated and continual learning for classification tasks in a society of devices F. Casado Dylan Lema R. Iglesias Carlos V. Regueiro S. Barro FedML 82 2 0 12 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 68 32 0 12 Jun 2020
A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization Zhize Li Peter Richtárik FedML 101 36 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 106 23 0 12 Jun 2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method Yossi Arjevani Joan Bruna Bugra Can Mert Gurbuzbalaban Stefanie Jegelka Hongzhou Lin 63 16 0 11 Jun 2020
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings Mihai Dusmanu Johannes L. Schonberger Sudipta N. Sinha Marc Pollefeys PICV 105 9 0 11 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming Mehrdad Khani Shirkoohi Pouya Hamadanian Arash Nasr-Esfahany Mohammad Alizadeh 117 47 0 11 Jun 2020
Distributed Learning on Heterogeneous Resource-Constrained Devices Martin Rapp R. Khalili J. Henkel FedML 68 7 0 09 Jun 2020
XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning Myungjae Shin Chihoon Hwang Joongheon Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 78 111 0 09 Jun 2020
CRISP: A Probabilistic Model for Individual-Level COVID-19 Infection Risk Estimation Based on Contact Data R. Herbrich R. Rastogi Roland Vollgraf 109 16 0 09 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 84 60 0 08 Jun 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning Blake E. Woodworth Kumar Kshitij Patel Nathan Srebro FedML 176 204 0 08 Jun 2020
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification Guile Wu S. Gong OOD 112 31 0 07 Jun 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 153 876 0 07 Jun 2020