Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,849 papers shown

Title
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing Hao Chen Yu Ye Ming Xiao Mikael Skoglund H. Vincent Poor 14 14 0 02 Oct 2020
Loosely Coupled Federated Learning Over Generative Models Shaoming Song Yunfeng Shao Jian Li FedML 28 1 0 28 Sep 2020
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues Leila Sedghi Zohaib Ijaz Md. Noor-A.-Rahim K. Witheephanich Dirk Pesch AI4CE 33 15 0 27 Sep 2020
Federated Transfer Learning: concept and applications Sudipan Saha Tahir Ahmad FedML 32 85 0 26 Sep 2020
Artificial Intelligence for UAV-enabled Wireless Networks: A Survey Mohamed-Amine Lahmeri Mustafa A. Kishk Mohamed-Slim Alouini 31 102 0 24 Sep 2020
Pocket Diagnosis: Secure Federated Learning against Poisoning Attack in the Cloud Zhuo Ma Jianfeng Ma Yinbin Miao Ximeng Liu K. Choo R. Deng FedML 20 32 0 23 Sep 2020
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network Shuai Yu Xu Chen Zhi Zhou Xiaowen Gong Di Wu 11 214 0 22 Sep 2020
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images Ming Y. Lu Dehan Kong Jana Lipkova Richard J. Chen Rajendra Singh Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood FedML MedIm 31 167 0 21 Sep 2020
Connecting Distributed Pockets of EnergyFlexibility through Federated Computations:Limitations and Possibilities Javad Mohammadi J. Thornburg 13 5 0 21 Sep 2020
Privacy-Preserving Machine Learning Training in Aggregation Scenarios Liehuang Zhu Xiangyun Tang Meng Shen Jie Zhang Xiaojiang Du 27 4 0 21 Sep 2020
Estimation of Individual Device Contributions for Incentivizing Federated Learning Takayuki Nishio R. Shinkuma N. Mandayam FedML 19 31 0 20 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 36 26 0 18 Sep 2020
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data Jie Peng Zhaoxian Wu Qing Ling Tianyi Chen OOD FedML 26 23 0 17 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 41 27 0 14 Sep 2020
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization Achintya Kundu Pengqian Yu L. Wynter Shiau Hong Lim FedML 14 14 0 14 Sep 2020
FLaPS: Federated Learning and Privately Scaling Sudipta Paul Poushali Sengupta Subhankar Mishra FedML 19 4 0 13 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 14 146 0 12 Sep 2020
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing William J. Buchanan Muhammad Ali Imran M. Rehman Lei Zhang Q. Abbasi C. Chrysoulas D. Haynes Nikolaos Pitropakis Pavlos Papadopoulos 6 14 0 10 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 33 144 0 08 Sep 2020
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning Boyi Liu Bingjie Yan Yize Zhou Jun Wang Yuhang Zhang FedML 8 3 0 08 Sep 2020
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT Weishan Zhang Qinghua Lu Qiuyu Yu Zhaotong Li Yue Liu Sin Kit Lo Shiping Chen Xiwei Xu Liming Zhu 24 6 0 06 Sep 2020
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework Pei Fang Zhendong Cai Hui Chen Qingjiang Shi 6 5 0 05 Sep 2020
On Communication Compression for Distributed Optimization on Heterogeneous Data Sebastian U. Stich 53 23 0 04 Sep 2020
Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing Abdallah Moubayed Tanveer Ahmed A. Haque Abdallah Shami 9 6 0 04 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 25 256 0 04 Sep 2020
ESMFL: Efficient and Secure Models for Federated Learning Sheng Lin Chenghong Wang Hongjia Li Jieren Deng Yanzhi Wang Caiwen Ding FedML 13 5 0 03 Sep 2020
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction Moritz Knolle Georgios Kaissis F. Jungmann Sebastian Ziegelmayer D. Sasse Marcus R. Makowski Daniel Rueckert R. Braren MedIm 16 14 0 02 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 11 153 0 01 Sep 2020
Federated Edge Learning : Design Issues and Challenges Afaf Taik Soumaya Cherkaoui FedML 21 62 0 31 Aug 2020
Wireless for Machine Learning Henrik Hellström J. M. B. D. Silva Mohammad Mohammadi Amiri Mingzhe Chen Viktoria Fodor H. Vincent Poor Carlo Fischione 14 18 0 31 Aug 2020
SEEC: Semantic Vector Federation across Edge Computing Environments Shalisha Witherspoon Dean Steuer Graham A. Bent N. Desai FedML 25 2 0 30 Aug 2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs Dongming Han Wei Chen Rusheng Pan Yijing Liu Jiehui Zhou ... Tianye Zhang Changjie Fan Jianrong Tao Xiaolong Luke Zhang H. Feng FedML 16 1 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 34 0 0 26 Aug 2020
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 39 36 0 26 Aug 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments Dimitris Stripelis J. Ambite FedML 20 11 0 25 Aug 2020
Convergence of Federated Learning over a Noisy Downlink M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 13 74 0 25 Aug 2020
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Kartikeya Bhardwaj Wei Chen R. Marculescu GNN 6 7 0 25 Aug 2020
Federated Learning with Communication Delay in Edge Networks F. Lin Christopher G. Brinton Nicolò Michelusi FedML 10 16 0 21 Aug 2020
A(DP) $^2$ SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy Jie Xu Wei Zhang Fei Wang FedML 26 7 0 21 Aug 2020
NoPeek: Information leakage reduction to share activations in distributed deep learning Praneeth Vepakomma Abhishek Singh O. Gupta Ramesh Raskar MIACV FedML 24 84 0 20 Aug 2020
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT G. Biondetti R. Gauriau Christopher P. Bridge Charles Lu Katherine P. Andriole OOD 11 5 0 19 Aug 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients Jiaxin Ma Ryo Yonetani Z. Iqbal FedML 40 12 0 18 Aug 2020
Shared MF: A privacy-preserving recommendation system Senci Ying 9 18 0 18 Aug 2020
FLBench: A Benchmark Suite for Federated Learning Yuan Liang Yange Guo Yanxia Gong Chunjie Luo Jianfeng Zhan Yunyou Huang FedML 19 10 0 17 Aug 2020
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs Antonious M. Girgis Deepesh Data Suhas Diggavi Peter Kairouz A. Suresh FedML 26 25 0 17 Aug 2020
Addressing Class Imbalance in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 10 18 0 14 Aug 2020
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data Sohei Itahara Takayuki Nishio Yusuke Koda M. Morikura Koji Yamamoto FedML 25 249 0 14 Aug 2020
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient An Xu Zhouyuan Huo Heng-Chiao Huang 18 14 0 13 Aug 2020
Distantly Supervised Relation Extraction in Federated Settings Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 20 10 0 12 Aug 2020