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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
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning Yanjun Zhang Guangdong Bai Xue Li Surya Nepal R. Ko FedML 41 2 0 27 Apr 2021
Multi-resource allocation for federated settings: A non-homogeneous Markov chain model Syed Eqbal Alam Fabian R. Wirth Jia Yuan Yu 26 0 0 26 Apr 2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression Zhefeng Qiao Xianghao Yu Jun Zhang Khaled B. Letaief FedML 123 20 0 26 Apr 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part II: The Compute-then-Transmit NOMA Paradigm Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis 76 40 0 24 Apr 2021
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends Pavlos S. Bouzinis P. Diamantoulakis G. Karagiannidis 87 52 0 24 Apr 2021
Partitioning sparse deep neural networks for scalable training and inference G. Demirci Hakan Ferhatosmanoglu 39 11 0 23 Apr 2021
Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity Frank W. Bentrem Michael A. Corsello Joshua J. Palm FedML 26 0 0 23 Apr 2021
Gradient Masked Federated Optimization Irene Tenison Sreya Francis Irina Rish FedML 73 2 0 21 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 103 477 0 15 Apr 2021
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems Li Li Moming Duan Duo Liu Yu Zhang Ao Ren Xianzhang Chen Yujuan Tan Chengliang Wang FedML 83 44 0 15 Apr 2021
Personalized Semi-Supervised Federated Learning for Human Activity Recognition Riccardo Presotto Gabriele Civitarese Claudio Bettini 99 71 0 15 Apr 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Zhao Wang Yifan Hu Jun Xiao Chao-Xiang Wu AI4CE 61 11 0 15 Apr 2021
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges Cong Shen Jie Xu Sihui Zheng Xiang Chen 114 20 0 14 Apr 2021
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption Jing Ma Si-Ahmed Naas S. Sigg X. Lyu 94 265 0 14 Apr 2021
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning He Zhu Qing Ling FedML AAML 153 13 0 14 Apr 2021
Device-Cloud Collaborative Learning for Recommendation Jiangchao Yao Feng Wang Kunyang Jia Bo Han Jingren Zhou Hongxia Yang 112 63 0 14 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 68 58 0 12 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 82 11 0 10 Apr 2021
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 47 50 0 07 Apr 2021
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning Afaf Taik Boubakr Nour Soumaya Cherkaoui 85 30 0 07 Apr 2021
Communication-Efficient Agnostic Federated Averaging Jae Hun Ro Mingqing Chen Rajiv Mathews M. Mohri A. Suresh FedML 87 17 0 06 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 113 438 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 35 11 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 106 94 0 01 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 102 130 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 78 34 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 76 24 0 30 Mar 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 111 55 0 29 Mar 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 74 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 70 87 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 74 27 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 86 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 91 86 0 24 Mar 2021
Real-time End-to-End Federated Learning: An Automotive Case Study Hongyi Zhang J. Bosch Helena Holmström Olsson FedML 85 41 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 78 40 0 22 Mar 2021
UAV Communications for Sustainable Federated Learning Quoc-Viet Pham M. Zeng Rukhsana Ruby Thien Huynh-The Won Joo Hwang 99 92 0 20 Mar 2021
An Experiment Study on Federated LearningTestbed Cheng Shen Wanli Xue FedML 37 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 117 113 0 18 Mar 2021
Quantum federated learning through blind quantum computing Weikang Li Sirui Lu D. Deng FedML 124 87 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 66 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 186 445 0 10 Mar 2021
Linear Regression over Networks with Communication Guarantees Konstantinos Gatsis 101 3 0 06 Mar 2021
Pufferfish: Communication-efficient Models At No Extra Cost Hongyi Wang Saurabh Agarwal Dimitris Papailiopoulos 87 59 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 66 78 0 05 Mar 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices Max Ryabinin Eduard A. Gorbunov Vsevolod Plokhotnyuk Gennady Pekhimenko 137 36 0 04 Mar 2021
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks Litao Qiao Weijia Wang Bill Lin FaML 46 40 0 04 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu Yao Guo Xiangqun Chen FedML 76 87 0 02 Mar 2021
Adversarial training in communication constrained federated learning Devansh Shah Parijat Dube Supriyo Chakraborty Ashish Verma FedML 109 34 0 01 Mar 2021
Federated Learning without Revealing the Decision Boundaries Roozbeh Yousefzadeh FedML 27 0 0 01 Mar 2021
Communication-efficient Byzantine-robust distributed learning with statistical guarantee Xingcai Zhou Le Chang Pengfei Xu Shaogao Lv FedML 40 0 0 28 Feb 2021