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Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016

Blaise Agüera y Arcas

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Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

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Title
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 184 161 0 17 Sep 2020
FedSmart: An Auto Updating Federated Learning Optimization Mechanism Anxun He Jianzong Wang Zhangcheng Huang Jing Xiao FedML 59 10 0 16 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 87 31 0 15 Sep 2020
Private data sharing between decentralized users through the privGAN architecture Jean-Francois Rajotte R. Ng FedML 74 3 0 14 Sep 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 111 28 0 14 Sep 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 95 13 0 14 Sep 2020
A Principled Approach to Data Valuation for Federated Learning Tianhao Wang Johannes Rausch Ce Zhang R. Jia Basel Alomair FedML TDI 71 195 0 14 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning Changyang She Chengjian Sun Zhouyou Gu Yonghui Li Chenyang Yang H. Vincent Poor Branka Vucetic 98 17 0 13 Sep 2020
FLaPS: Federated Learning and Privately Scaling Sudipta Paul Poushali Sengupta Subhankar Mishra FedML 49 4 0 13 Sep 2020
From Federated Learning to Federated Neural Architecture Search: A Survey Hangyu Zhu Haoyu Zhang Yaochu Jin FedML OOD AI4CE 111 155 0 12 Sep 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 124 46 0 11 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 107 109 0 11 Sep 2020
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems Julien Hendrickx Michael G. Rabbat 67 17 0 11 Sep 2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy Tom Farrand Fatemehsadat Mireshghallah Sahib Singh Andrew Trask FedML 103 94 0 10 Sep 2020
Local and Central Differential Privacy for Robustness and Privacy in Federated Learning Mohammad Naseri Jamie Hayes Emiliano De Cristofaro FedML 128 153 0 08 Sep 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 122 39 0 06 Sep 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services Basheer Qolomany Kashif Ahmad Ala I. Al-Fuqaha Junaid Qadir 73 65 0 05 Sep 2020
Communication-efficient distributed eigenspace estimation Vasileios Charisopoulos Austin R. Benson Anil Damle 63 10 0 05 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 112 262 0 04 Sep 2020
Fed-Sim: Federated Simulation for Medical Imaging Daiqing Li Amlan Kar Nishant Ravikumar Alejandro F Frangi Sanja Fidler FedML MedIm AI4CE 88 22 0 01 Sep 2020
Wireless for Machine Learning Henrik Hellström J. M. B. D. Silva Mohammad Mohammadi Amiri Mingzhe Chen Viktoria Fodor H. Vincent Poor Carlo Fischione 85 18 0 31 Aug 2020
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model S. Hahn Junghye Lee FedML 33 2 0 29 Aug 2020
Collaborative Fairness in Federated Learning Lingjuan Lyu Xinyi Xu Qian Wang FedML 77 196 0 27 Aug 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 69 2 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 87 0 0 26 Aug 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 139 99 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 131 36 0 26 Aug 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments Dimitris Stripelis J. Ambite FedML 51 11 0 25 Aug 2020
Convergence of Federated Learning over a Noisy Downlink M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 111 75 0 25 Aug 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 103 134 0 25 Aug 2020
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations Mingkai Huang Hao Li Bing Bai Chang Wang Kun Bai Fei Wang FedML 106 33 0 25 Aug 2020
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy Chandra Thapa S. Çamtepe 55 213 0 24 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 102 49 0 24 Aug 2020
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning Behzad Khamidehi E. Sousa 35 17 0 23 Aug 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 81 12 0 22 Aug 2020
Federated Learning with Communication Delay in Edge Networks F. Lin Christopher G. Brinton Nicolò Michelusi FedML 72 16 0 21 Aug 2020
A Survey of Coded Distributed Computing Jer Shyuan Ng Wei Yang Bryan Lim Nguyen Cong Luong Zehui Xiong Alia Asheralieva Dusit Niyato Cyril Leung Chunyan Miao 60 25 0 20 Aug 2020
Toward Smart Security Enhancement of Federated Learning Networks Junjie Tan Ying-Chang Liang Nguyen Cong Luong Dusit Niyato AAML 70 38 0 19 Aug 2020
Inverse Distance Aggregation for Federated Learning with Non-IID Data Yousef Yeganeh Azade Farshad Nassir Navab Shadi Albarqouni OOD 70 84 0 17 Aug 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 89 117 0 17 Aug 2020
Privacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems P. Safari B. Shariati J. Fischer FedML 24 6 0 17 Aug 2020
Heterogeneous Federated Learning Fuxun Yu Weishan Zhang Zhuwei Qin Zirui Xu Di Wang Chenchen Liu Zhi Tian Xiang Chen FedML 72 22 0 15 Aug 2020
Addressing Class Imbalance in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 77 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 83 263 0 14 Aug 2020
WAFFLe: Weight Anonymized Factorization for Federated Learning Weituo Hao Nikhil Mehta Kevin J. Liang Pengyu Cheng Mostafa El-Khamy Lawrence Carin FedML 94 13 0 13 Aug 2020
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions L. U. Khan Walid Saad Zhu Han Choong Seon Hong 118 33 0 12 Aug 2020
Distantly Supervised Relation Extraction in Federated Settings Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 73 11 0 12 Aug 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 65 72 0 11 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 182 219 0 08 Aug 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen H. Li FedML 96 128 0 07 Aug 2020