Federated Optimization:Distributed Optimization Beyond the Datacenter

11 November 2015

Papers citing "Federated Optimization:Distributed Optimization Beyond the Datacenter"

50 / 305 papers shown

Title
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 58 117 0 01 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 632 20,418 0 23 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 203 13 0 23 Oct 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 97 53 0 21 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 85 72 0 18 Oct 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks Chaoyang He Conghui Tan Hanlin Tang Shuang Qiu Ji Liu FedML 77 75 0 11 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 43 10 0 04 Oct 2019
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu Kuang Xu Dana Yang FedML 78 1 0 21 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 97 26 0 18 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 113 1,198 0 17 Sep 2019
BAFFLE : Blockchain Based Aggregator Free Federated Learning P. Ramanan K. Nakayama FedML 59 172 0 16 Sep 2019
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction Boyue Li Shicong Cen Yuxin Chen Yuejie Chi 55 12 0 12 Sep 2019
Decentralized Federated Learning: A Segmented Gossip Approach Chenghao Hu Jingyan Jiang Zhi Wang FedML 71 187 0 21 Aug 2019
Towards Effective Device-Aware Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 57 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 73 38 0 16 Aug 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 62 30 0 30 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 214 2,363 0 04 Jul 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 56 114 0 12 Jun 2019
Secure Distributed On-Device Learning Networks With Byzantine Adversaries Yanjie Dong Julian Cheng Md. Jahangir Hossain Victor C. M. Leung FedML 52 23 0 03 Jun 2019
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data Shicong Cen Huishuai Zhang Yuejie Chi Wei-neng Chen Tie-Yan Liu FedML 108 27 0 29 May 2019
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach Xin Zhang Jia Liu Zhengyuan Zhu FedML 33 7 0 28 May 2019
Federated Multi-task Hierarchical Attention Model for Sensor Analytics Yujing Chen Yue Ning Zheng Chai Huzefa Rangwala 48 6 0 13 May 2019
One-Shot Federated Learning: Theoretical Limits and Algorithms to Achieve Them Saber Salehkaleybar Arsalan Sharifnassab S. J. Golestani FedML 53 34 0 12 May 2019
Communication trade-offs for synchronized distributed SGD with large step size Kumar Kshitij Patel Aymeric Dieuleveut FedML 66 27 0 25 Apr 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 75 450 0 18 Mar 2019
SLSGD: Secure and Efficient Distributed On-device Machine Learning Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 67 14 0 16 Mar 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 92 574 0 10 Mar 2019
Gradient Scheduling with Global Momentum for Non-IID Data Distributed Asynchronous Training Chengjie Li Ruixuan Li Yining Qi Yuhua Li Pan Zhou Song Guo Keqin Li 88 16 0 21 Feb 2019
Federated Deep Reinforcement Learning H. Zhuo Wenfeng Feng Yufeng Lin Qian Xu Qiang Yang FedML OffRL 78 90 0 24 Jan 2019
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air Mohammad Mohammadi Amiri Deniz Gunduz 87 53 0 03 Jan 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 125 713 0 03 Dec 2018
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data Li Huang Yifeng Yin Z. Fu Shifa Zhang Hao Deng Dianbo Liu FedML 135 70 0 30 Nov 2018
WEST: Word Encoded Sequence Transducers Ehsan Variani A. Suresh M. Weintraub 43 9 0 20 Nov 2018
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks César A. Uribe Soomin Lee Alexander Gasnikov A. Nedić 102 137 0 03 Sep 2018
Don't Use Large Mini-Batches, Use Local SGD Tao R. Lin Sebastian U. Stich Kumar Kshitij Patel Martin Jaggi 123 432 0 22 Aug 2018
COLA: Decentralized Linear Learning Lie He An Bian Martin Jaggi 102 121 0 13 Aug 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 126 100 0 14 Jun 2018
Federated Learning with Non-IID Data Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra FedML 189 2,602 0 02 Jun 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 224 35 0 26 Apr 2018
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients Lingjiao Chen Hongyi Wang Zachary B. Charles Dimitris Papailiopoulos 77 248 0 27 Mar 2018
Distributed Stochastic Multi-Task Learning with Graph Regularization Weiran Wang Jialei Wang Mladen Kolar Nathan Srebro FedML 66 21 0 11 Feb 2018
Optimal Algorithms for Distributed Optimization César A. Uribe Soomin Lee Alexander Gasnikov A. Nedić 73 38 0 01 Dec 2017
Robust Decentralized Learning Using ADMM with Unreliable Agents Qunwei Li B. Kailkhura R. Goldhahn Priyadip Ray P. Varshney 79 18 0 14 Oct 2017
Stochastic, Distributed and Federated Optimization for Machine Learning Jakub Konecný FedML 80 38 0 04 Jul 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 175 1,821 0 30 May 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 84 246 0 16 May 2017
Private Learning on Networks: Part II Shripad Gade Nitin H. Vaidya 126 11 0 27 Mar 2017
Distributed deep learning on edge-devices: feasibility via adaptive compression Corentin Hardy Erwan Le Merrer B. Sericola 72 64 0 15 Feb 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 314 4,675 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 172 1,912 0 08 Oct 2016