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 / 5,670 papers shown

Title
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 98 275 0 31 Mar 2020
Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization Stefan Vlaski Ali H. Sayed 93 5 0 31 Mar 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 174 1,241 0 31 Mar 2020
Concentrated Differentially Private and Utility Preserving Federated Learning Rui Hu Yuanxiong Guo Yanmin Gong FedML 66 12 0 30 Mar 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 332 567 0 30 Mar 2020
Federated Residual Learning Alekh Agarwal John Langford Chen-Yu Wei FedML 104 40 0 28 Mar 2020
Semi-Federated Learning Zhikun Chen Daofeng Li Mingde Zhao Sihai Zhang Jinkang Zhu FedML 46 18 0 28 Mar 2020
Differentially Private Federated Learning for Resource-Constrained Internet of Things Rui Hu Yuanxiong Guo E. Ratazzi Yanmin Gong FedML 62 18 0 28 Mar 2020
A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate Naeimeh Omidvar M. Maddah-ali Hamed Mahdavi ODL 42 3 0 27 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection Ruixuan Liu Yang Cao Masatoshi Yoshikawa Hong Chen FedML 71 111 0 24 Mar 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 100 519 0 23 Mar 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 97 68 0 21 Mar 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning Suyu Ge Fangzhao Wu Chuhan Wu Tao Qi Yongfeng Huang Xing Xie 208 59 0 20 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 245 333 0 19 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 301 1,813 0 18 Mar 2020
Distributed and Democratized Learning: Philosophy and Research Challenges Minh N. H. Nguyen Shashi Raj Pandey K. Thar Nguyen H. Tran Mingzhe Chen Walid Saad Choong Seon Hong 68 14 0 18 Mar 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 165 204 0 18 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 70 9 0 18 Mar 2020
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework Huafei Zhu Zengxiang Li Merivyn Cheah Rick Siow Mong Goh FedML 122 11 0 17 Mar 2020
Machine Learning on Volatile Instances Xiaoxi Zhang Jianyu Wang Gauri Joshi Carlee Joe-Wong 58 25 0 12 Mar 2020
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization Chaochao Chen Ziqi Liu P. Zhao Jun Zhou Xiaolong Li 62 78 0 12 Mar 2020
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory Hamid Shiri Jihong Park M. Bennis 89 80 0 09 Mar 2020
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 103 182 0 07 Mar 2020
Trends and Advancements in Deep Neural Network Communication Felix Sattler Thomas Wiegand Wojciech Samek GNN 72 9 0 06 Mar 2020
Decentralized SGD with Over-the-Air Computation Emre Ozfatura Stefano Rini Deniz Gunduz 70 38 0 06 Mar 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 161 213 0 06 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 208 73 0 04 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 313 448 0 04 Mar 2020
Gradient Statistics Aware Power Control for Over-the-Air Federated Learning Naifu Zhang M. Tao 69 20 0 04 Mar 2020
Evaluation Framework For Large-scale Federated Learning Lifeng Liu Fengda Zhang Jun Xiao Chao-Xiang Wu FedML 86 9 0 03 Mar 2020
Stochastic Calibration of Radio Interferometers S. Yatawatta 72 6 0 02 Mar 2020
Federating Recommendations Using Differentially Private Prototypes Mónica Ribero Jette Henderson Sinead Williamson H. Vikalo FedML 64 39 0 01 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 336 1,463 0 29 Feb 2020
On Biased Compression for Distributed Learning Aleksandr Beznosikov Samuel Horváth Peter Richtárik M. Safaryan 111 189 0 27 Feb 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 71 7 0 27 Feb 2020
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective Yilun Jin Xiguang Wei Yang Liu Qiang Yang FedML 75 63 0 26 Feb 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 129 137 0 26 Feb 2020
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning Tianyi Chen Yuejiao Sun W. Yin FedML 49 14 0 26 Feb 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 145 346 0 26 Feb 2020
FedCoin: A Peer-to-Peer Payment System for Federated Learning Yuan Liu Shuai Sun Zhengpeng Ai Shuangfeng Zhang Zelei Liu Han Yu FedML 84 115 0 26 Feb 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 99 22 0 25 Feb 2020
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 94 64 0 25 Feb 2020
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems Koya Sato Yasuyuki Satoh D. Sugimura 59 1 0 25 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework Qiong Wu Kaiwen He Xu Chen 94 287 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 149 581 0 25 Feb 2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Shiqiang Wang Jian Li M. Amini 80 63 0 25 Feb 2020
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning Xue Yang Yan Feng Weijun Fang Jun Shao Xiaohu Tang Shutao Xia Rongxing Lu FedML AAML 102 45 0 23 Feb 2020
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks Changyang She Rui Dong Zhouyou Gu Zhanwei Hou Yonghui Li Wibowo Hardjawana Chenyang Yang Lingyang Song Branka Vucetic AI4TS 147 107 0 22 Feb 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC Rongfei Zeng Shixun Zhang Jiaqi Wang Xiaowen Chu FedML 88 182 0 22 Feb 2020