Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

Papers citing "Federated Learning: Strategies for Improving Communication Efficiency"

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Title
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction Boyue Li Shicong Cen Yuxin Chen Yuejie Chi 22 12 0 12 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 38 181 0 11 Sep 2019
Tighter Theory for Local SGD on Identical and Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik 35 428 0 10 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 21 22 0 10 Sep 2019
First Analysis of Local GD on Heterogeneous Data Ahmed Khaled Konstantin Mishchenko Peter Richtárik FedML 21 172 0 10 Sep 2019
Privacy-Preserving Bandits Mohammad Malekzadeh D. Athanasakis Hamed Haddadi B. Livshits 19 18 0 10 Sep 2019
Communication-Censored Distributed Stochastic Gradient Descent Weiyu Li Tianyi Chen Liping Li Zhaoxian Wu Qing Ling 20 17 0 09 Sep 2019
Convex Set Disjointness, Distributed Learning of Halfspaces, and LP Feasibility M. Braverman Gillat Kol Shay Moran Raghuvansh R. Saxena 20 6 0 08 Sep 2019
Distributed Deep Learning with Event-Triggered Communication Jemin George Prudhvi K. Gurram 16 16 0 08 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 606 0 02 Sep 2019
Rewarding High-Quality Data via Influence Functions A. Richardson Aris Filos-Ratsikas Boi Faltings FedML TDI 35 40 0 30 Aug 2019
An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning Hongyu Li Tianqi Han FedML 21 32 0 22 Aug 2019
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Prathamesh Mayekar Himanshu Tyagi MQ 29 48 0 22 Aug 2019
BRIDGE: Byzantine-resilient Decentralized Gradient Descent Cheng Fang Zhixiong Yang W. Bajwa 19 96 0 21 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 72 4,430 0 21 Aug 2019
Decentralized Federated Learning: A Segmented Gossip Approach Chenghao Hu Jingyan Jiang Zhi Wang FedML 11 183 0 21 Aug 2019
Towards Effective Device-Aware Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 24 31 0 20 Aug 2019
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs Xin Yao Tianchi Huang Chenglei Wu Ruixiao Zhang Lifeng Sun FedML 21 38 0 16 Aug 2019
Two-stage Federated Phenotyping and Patient Representation Learning Dianbo Liu Dmitriy Dligach Timothy A. Miller 23 79 0 14 Aug 2019
Adaptive Kernel Learning in Heterogeneous Networks Hrusikesha Pradhan Amrit Singh Bedi Alec Koppel K. Rajawat 20 7 0 01 Aug 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 21 30 0 30 Jul 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 33 508 0 23 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 975 0 23 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 22 978 0 19 Jul 2019
Federated Principal Component Analysis Andreas Grammenos R. Mendoza-Smith Jon Crowcroft Cecilia Mascolo FedML 87 11 0 18 Jul 2019
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost Mengwei Yang Linqi Song Jie Xu Congduan Li Guozhen Tan FedML 26 30 0 16 Jul 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning L. Dudziak Mohamed S. Abdelfattah Ravichander Vipperla Stefanos Laskaridis Nicholas D. Lane OffRL 31 18 0 08 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 112 2,290 0 04 Jul 2019
Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications Moming Duan Duo Liu Xianzhang Chen Yujuan Tan Jinting Ren Lei Qiao Liang Liang FedML 16 193 0 02 Jul 2019
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices Yang Zhao Jun Zhao Linshan Jiang Rui Tan Dusit Niyato Zengxiang Li Lingjuan Lyu Yingbo Liu 19 104 0 26 Jun 2019
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 21 20 0 25 Jun 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 43 2,163 0 21 Jun 2019
Secure Federated Matrix Factorization Di Chai Leye Wang Kai Chen Qiang Yang FedML 16 313 0 12 Jun 2019
Associative Convolutional Layers H. Omidvar Vahideh Akhlaghi M. Franceschetti Rajesh K. Gupta 34 1 0 10 Jun 2019
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices Jie Liu Jiawen Liu Wan Du Dong Li HAI 17 5 0 10 Jun 2019
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms Xiangyi Chen Tiancong Chen Haoran Sun Zhiwei Steven Wu Mingyi Hong FedML 24 73 0 04 Jun 2019
Federated Hierarchical Hybrid Networks for Clickbait Detection Feng Liao Hankui Zhuo Xiaoling Huang Yu Zhang FedML 30 5 0 03 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 19 317 0 31 May 2019
Distributed estimation of the inverse Hessian by determinantal averaging Michal Derezinski Michael W. Mahoney 25 28 0 28 May 2019
Natural Compression for Distributed Deep Learning Samuel Horváth Chen-Yu Ho L. Horvath Atal Narayan Sahu Marco Canini Peter Richtárik 21 151 0 27 May 2019
Decentralized Bayesian Learning over Graphs Anusha Lalitha Xinghan Wang O. Kilinc Y. Lu T. Javidi F. Koushanfar FedML 28 25 0 24 May 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 44 1,421 0 24 May 2019
Federated Forest Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 16 144 0 24 May 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 29 169 0 23 May 2019
Decentralized Learning of Generative Adversarial Networks from Non-iid Data Ryo Yonetani Tomohiro Takahashi Atsushi Hashimoto Yoshitaka Ushiku 45 24 0 23 May 2019
Approximating probabilistic models as weighted finite automata A. Suresh Brian Roark Michael Riley Vlad Schogol 26 11 0 21 May 2019
Knowledge Transferring via Model Aggregation for Online Social Care Shaoxiong Ji Guodong Long Shirui Pan Tianqing Zhu Jing Jiang Sen Wang Xue Li 20 0 0 19 May 2019
Hybrid-FL for Wireless Networks: Cooperative Learning Mechanism Using Non-IID Data Naoya Yoshida Takayuki Nishio M. Morikura Koji Yamamoto Ryo Yonetani 32 137 0 17 May 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger FedML OOD MedIm 25 305 0 16 May 2019
Federated Multi-task Hierarchical Attention Model for Sensor Analytics Yujing Chen Yue Ning Zheng Chai Huzefa Rangwala 35 6 0 13 May 2019