v1v2v3v4 (latest)

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

FedML

ArXiv (abs)PDF HTML

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

50 / 5,662 papers shown

Title
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing Anudit Nagar 51 21 0 10 Dec 2019
Element Level Differential Privacy: The Right Granularity of Privacy Hilal Asi John C. Duchi O. Javidbakht 62 18 0 05 Dec 2019
Collective Learning Francesco Farina FedML 85 23 0 05 Dec 2019
Learning to Recommend via Meta Parameter Partition Liang Zhao Yang Wang Daxiang Dong Hao Tian OffRL CLL 81 7 0 04 Dec 2019
Learn Electronic Health Records by Fully Decentralized Federated Learning Songtao Lu Yawen Zhang Yunlong Wang C. Mack FedML 57 24 0 04 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 103 854 0 02 Dec 2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression Kairan Yang Tao Fan Tianjian Chen Yuanming Shi Qiang Yang FedML 76 94 0 01 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David Clifton 79 27 0 01 Dec 2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation Keith Bonawitz Fariborz Salehi Jakub Konecný H. B. McMahan Marco Gruteser FedML 100 75 0 30 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 148 1,137 0 26 Nov 2019
Federated Learning for Ranking Browser History Suggestions Florian Hartmann Sunah Suh Arkadiusz Komarzewski Tim Smith I. Segall FedML 67 55 0 26 Nov 2019
Federated Learning with Bayesian Differential Privacy Aleksei Triastcyn Boi Faltings FedML 85 180 0 22 Nov 2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates Cong Xie Oluwasanmi Koyejo Indranil Gupta Yanghua Peng 73 42 0 20 Nov 2019
Optimal Robust Learning of Discrete Distributions from Batches Ayush Jain A. Orlitsky 62 14 0 19 Nov 2019
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 121 587 0 18 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets S. Augenstein H. B. McMahan Daniel Ramage Swaroop Indra Ramaswamy Peter Kairouz Mingqing Chen Rajiv Mathews Blaise Agüera y Arcas SyDa 93 183 0 15 Nov 2019
Information-Theoretic Perspective of Federated Learning Linara Adilova Julia Rosenzweig Michael Kamp FedML 23 4 0 15 Nov 2019
Federated and Differentially Private Learning for Electronic Health Records Stephen Pfohl Andrew M. Dai Katherine A. Heller OOD FedML 75 51 0 13 Nov 2019
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui Wang H. Vincent Poor 83 67 0 12 Nov 2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning XINYAN DAI Xiao Yan Kaiwen Zhou Han Yang K. K. Ng James Cheng Yu Fan FedML 76 47 0 12 Nov 2019
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning Depeng Xu Shuhan Yuan Xintao Wu 57 22 0 11 Nov 2019
Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices Anirban Das Thomas Brunschwiler FedML 54 24 0 11 Nov 2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning Dingzhu Wen Xiaoyang Li Qunsong Zeng Jinke Ren Kaibin Huang 79 25 0 10 Nov 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning Anis Elgabli Jihong Park Sabbir Ahmed M. Bennis FedML 82 21 0 09 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 73 11 0 08 Nov 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 114 696 0 06 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 69 31 0 06 Nov 2019
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism L. U. Khan Shashi Raj Pandey Nguyen H. Tran Walid Saad Zhu Han Minh N. H. Nguyen Choong Seon Hong FedML 108 388 0 06 Nov 2019
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 103 56 0 05 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 81 16 0 05 Nov 2019
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 67 22 0 05 Nov 2019
A Crowdsourcing Framework for On-Device Federated Learning Shashi Raj Pandey N. H. Tran M. Bennis Y. Tun Aunas Manzoor Choong Seon Hong FedML 82 253 0 04 Nov 2019
Device Scheduling with Fast Convergence for Wireless Federated Learning Misha Sra C. Schmandt Z. Niu FedML 89 199 0 03 Nov 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 148 144 0 02 Nov 2019
Robust Federated Learning with Noisy Communication F. Ang Li Chen Senior Member Ieee Nan Zhao Senior Member Ieee Yunfei Chen Weidong Wang Feng Yu FedML 65 120 0 01 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 172 1,645 0 01 Nov 2019
Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin Mayank Agarwal S. Ghosh Kristjan Greenewald T. Hoang FedML 72 31 0 01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 97 275 0 31 Oct 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 105 202 0 30 Oct 2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection Lingchen Zhao Shengshan Hu Qian Wang Jianlin Jiang Chao Shen Xiangyang Luo Pengfei Hu AAML 86 96 0 29 Oct 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 159 337 0 29 Oct 2019
Improved Differentially Private Decentralized Source Separation for fMRI Data H. Imtiaz Jafar Mohammadi Rogers F. Silva Bradley T. Baker Sergey Plis Anand D. Sarwate Vince D. Calhoun OOD 47 5 0 28 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 131 54 0 27 Oct 2019
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning M. Galtier Camille Marini 60 39 0 25 Oct 2019
Towards Distributed Privacy-Preserving Prediction Lingjuan Lyu Yee Wei Law K. S. Ng Shibei Xue Jun Zhao Mengmeng Yang Lei Liu FedML 38 4 0 25 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 134 67 0 23 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 209 13 0 23 Oct 2019
Weighted Distributed Differential Privacy ERM: Convex and Non-convex Yilin Kang Yong Liu Weiping Wang 70 10 0 23 Oct 2019
Federated Evaluation of On-device Personalization Kangkang Wang Rajiv Mathews Chloé Kiddon Hubert Eichner F. Beaufays Daniel Ramage FedML 82 288 0 22 Oct 2019
Deep Learning at the Edge Sahar Voghoei N. Tonekaboni Jason G. Wallace H. Arabnia 188 41 0 22 Oct 2019