Federated Optimization: Distributed Machine Learning for On-Device Intelligence

8 October 2016

Papers citing "Federated Optimization: Distributed Machine Learning for On-Device Intelligence"

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Title
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 30 681 0 06 Nov 2019
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 18 56 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 16 250 0 04 Nov 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 17 329 0 29 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 17 13 0 23 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,110 0 22 Oct 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 30 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 27 70 0 18 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 19 343 0 14 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 8 74 0 08 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 23 10 0 04 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 45 966 0 04 Oct 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar K. Shin FedML 22 62 0 27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 19 586 0 27 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 25 25 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 6 1,180 0 17 Sep 2019
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 29 58 0 14 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 22 180 0 11 Sep 2019
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography Dashan Gao Ce Ju Xiguang Wei Yang Liu Tianjian Chen Qiang Yang FedML 14 87 0 11 Sep 2019
Gradient Descent with Compressed Iterates Ahmed Khaled Peter Richtárik 21 22 0 10 Sep 2019
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 8 29 0 09 Sep 2019
On Analog Gradient Descent Learning over Multiple Access Fading Channels Tomer Sery Kobi Cohen 11 153 0 20 Aug 2019
Towards Effective Device-Aware Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 14 31 0 20 Aug 2019
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond Xiao-Tong Yuan Ping Li 11 32 0 06 Aug 2019
A Federated Learning Approach for Mobile Packet Classification Evita Bakopoulou Bálint Tillman A. Markopoulou 13 30 0 30 Jul 2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices Mineto Tsukada Masaaki Kondo Hiroki Matsutani 23 72 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 37 970 0 23 Jul 2019
Practical Newton-Type Distributed Learning using Gradient Based Approximations Samira Sheikhi FedML 6 0 0 22 Jul 2019
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Yiqiang Chen Jindong Wang Chaohui Yu Wen Gao Xin Qin FedML 8 703 0 22 Jul 2019
Active Learning Solution on Distributed Edge Computing Jia Qian Sayantani Sengupta Lars Kai Hansen 16 20 0 25 Jun 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 23 596 0 20 Jun 2019
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran OOD FedML 22 214 0 16 Jun 2019
Variational Federated Multi-Task Learning Luca Corinzia Ami Beuret J. M. Buhmann FedML 27 159 0 14 Jun 2019
Federated AI lets a team imagine together: Federated Learning of GANs R. A N. V FedML 11 6 0 09 Jun 2019
Federated Hierarchical Hybrid Networks for Clickbait Detection Feng Liao Hankui Zhuo Xiaoling Huang Yu Zhang FedML 14 5 0 03 Jun 2019
Distributed estimation of the inverse Hessian by determinantal averaging Michal Derezinski Michael W. Mahoney 12 28 0 28 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
Federated Forest Yang Liu Yingting Liu Zhijie Liu Junbo Zhang Chuishi Meng Yu Zheng FedML 6 144 0 24 May 2019
Accelerating DNN Training in Wireless Federated Edge Learning Systems Jinke Ren Guanding Yu Guangyao Ding FedML 26 168 0 23 May 2019
Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach Jiawen Kang Zehui Xiong Dusit Niyato Han Yu Ying-Chang Liang Dong In Kim FedML 29 211 0 16 May 2019
Interpret Federated Learning with Shapley Values Guan Wang FAtt FedML 14 88 0 11 May 2019
Machine Learning in the Air Deniz Gunduz Paul de Kerret N. Sidiropoulos David Gesbert C. Murthy M. Schaar AI4CE 16 194 0 28 Apr 2019
Semi-Cyclic Stochastic Gradient Descent Hubert Eichner Tomer Koren H. B. McMahan Nathan Srebro Kunal Talwar 22 106 0 23 Apr 2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation Y. Chen Xiaoyan Sun Yaochu Jin FedML 10 434 0 18 Mar 2019
High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions Xudong Sun Andrea Bommert Florian Pfisterer Jörg Rahnenführer Michel Lang B. Bischl FedML 14 12 0 24 Feb 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 21 15 0 21 Feb 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 8 2,275 0 13 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 19 2,632 0 04 Feb 2019
OODIDA: On-board/Off-board Distributed Real-Time Data Analytics for Connected Vehicles G. Ulm Simon Smith Adrian Nilsson E. Gustavsson Mats Jirstrand 11 11 0 01 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 14 918 0 01 Feb 2019