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
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 22 46 0 07 Apr 2021
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning Afaf Taik Boubakr Nour Soumaya Cherkaoui 33 29 0 07 Apr 2021
Communication-Efficient Agnostic Federated Averaging Jae Hun Ro Mingqing Chen Rajiv Mathews M. Mohri A. Suresh FedML 30 17 0 06 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 36 418 0 05 Apr 2021
A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine Md. Tahmid Rashid Na Wei Dong Wang 13 9 0 03 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini A. Hall Pavlos Papadopoulos Tom Titcombe Abbas Ismail Tudor Cebere R. Sandmann Robin Roehm Michael A. Hoeh FedML MU 21 91 0 01 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 39 129 0 31 Mar 2021
1-Bit Compressive Sensing for Efficient Federated Learning Over the Air Xin-Yue Fan Yue Wang Yan Huo Z. Tian FedML 22 33 0 30 Mar 2021
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays Xiaosong Wang Ziyue Xu Leo K. Tam Dong Yang Daguang Xu ViT MedIm 25 23 0 30 Mar 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 48 54 0 29 Mar 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 33 42 0 29 Mar 2021
Hierarchical Federated Learning with Quantization: Convergence Analysis and System Design Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 47 80 0 26 Mar 2021
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 29 25 0 24 Mar 2021
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 40 12 0 24 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 29 81 0 24 Mar 2021
Real-time End-to-End Federated Learning: An Automotive Case Study Hongyi Zhang J. Bosch Helena Holmström Olsson FedML 19 39 0 22 Mar 2021
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning Haizhou Liu Xuan Zhang Xinwei Shen Hongbin Sun FedML 19 40 0 22 Mar 2021
UAV Communications for Sustainable Federated Learning Viet Quoc Pham M. Zeng Rukhsana Ruby Thien Huynh-The W. Hwang 24 89 0 20 Mar 2021
An Experiment Study on Federated LearningTestbed Cheng Shen Wanli Xue FedML 17 7 0 19 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 44 109 0 18 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 27 83 0 15 Mar 2021
Auction Based Clustered Federated Learning in Mobile Edge Computing System Renhao Lu Weizhe Zhang Qiong Li Xiaoxiong Zhong A. Vasilakos FedML 32 10 0 12 Mar 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 41 428 0 10 Mar 2021
Linear Regression over Networks with Communication Guarantees Konstantinos Gatsis 19 3 0 06 Mar 2021
Pufferfish: Communication-efficient Models At No Extra Cost Hongyi Wang Saurabh Agarwal Dimitris Papailiopoulos 19 56 0 05 Mar 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar J. Joshi Heiko Ludwig FedML 13 75 0 05 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 39 33 0 04 Mar 2021
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks Litao Qiao Weijia Wang Bill Lin FaML 11 39 0 04 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu Yao Guo Xiangqun Chen FedML 24 81 0 02 Mar 2021
Adversarial training in communication constrained federated learning Devansh Shah Parijat Dube Supriyo Chakraborty Ashish Verma FedML 26 34 0 01 Mar 2021
Federated Learning without Revealing the Decision Boundaries Roozbeh Yousefzadeh FedML 11 0 0 01 Mar 2021
Communication-efficient Byzantine-robust distributed learning with statistical guarantee Xingcai Zhou Le Chang Pengfei Xu Shaogao Lv FedML 15 0 0 28 Feb 2021
Constrained Differentially Private Federated Learning for Low-bandwidth Devices Raouf Kerkouche G. Ács C. Castelluccia P. Genevès 29 7 0 27 Feb 2021
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor Andreas Hellander FedML 29 41 0 27 Feb 2021
Federated Edge Learning with Misaligned Over-The-Air Computation Yulin Shao Deniz Gunduz Soung Chang Liew FedML 23 83 0 26 Feb 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 Feb 2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 41 28 0 26 Feb 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 32 59 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 39 76 0 25 Feb 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 13 141 0 25 Feb 2021
A Quantitative Metric for Privacy Leakage in Federated Learning Y. Liu Xinghua Zhu Jianzong Wang Jing Xiao FedML 29 22 0 24 Feb 2021
Sustainable Federated Learning Başak Güler Aylin Yener 22 13 0 22 Feb 2021
Federated $f$ -Differential Privacy Qinqing Zheng Shuxiao Chen Qi Long Weijie J. Su FedML 88 55 0 22 Feb 2021
Multiple Kernel-Based Online Federated Learning Jeongmin Chae Songnam Hong 16 0 0 22 Feb 2021
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems D. Manias Abdallah Shami 32 85 0 19 Feb 2021
Data-Aware Device Scheduling for Federated Edge Learning Afaf Taik Zoubeir Mlika Soumaya Cherkaoui 17 38 0 18 Feb 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks D. Kovalev Egor Shulgin Peter Richtárik Alexander Rogozin Alexander Gasnikov ODL 35 31 0 18 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 183 126 0 16 Feb 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 95 35 0 16 Feb 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 33 30 0 16 Feb 2021