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
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 62 187 0 05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 46 546 0 03 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 47 402 0 03 Oct 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He D. Song FedML 24 114 0 02 Oct 2020
Communicate to Learn at the Edge Deniz Gunduz David Burth Kurka Mikolaj Jankowski M. Amiri Emre Ozfatura Sreejith Sreekumar 29 64 0 28 Sep 2020
Sense and Learn: Self-Supervision for Omnipresent Sensors Aaqib Saeed Victor Ungureanu Beat Gfeller OOD SSL 22 39 0 28 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
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 38 159 0 23 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
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 31 169 0 21 Sep 2020
Sparse Communication for Training Deep Networks Negar Foroutan Martin Jaggi FedML 30 16 0 19 Sep 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 24 31 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 29 23 0 17 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 62 158 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
Private data sharing between decentralized users through the privGAN architecture Jean-Francois Rajotte R. Ng FedML 29 3 0 14 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
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 33 13 0 14 Sep 2020
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent Rahif Kassab Osvaldo Simeone FedML 32 46 0 11 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 34 106 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 11 88 0 10 Sep 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 23 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 36 63 0 05 Sep 2020
CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices Parth Mannan A. Samajdar T. Krishna 31 2 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 42 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 76 95 0 26 Aug 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 39 131 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 64 31 0 25 Aug 2020
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 44 48 0 24 Aug 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 23 12 0 22 Aug 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 20 113 0 17 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 25 251 0 14 Aug 2020
Dispersed Federated Learning: Vision, Taxonomy, and Future Directions L. U. Khan Walid Saad Zhu Han Choong Seon Hong 49 33 0 12 Aug 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 27 71 0 11 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 28 125 0 07 Aug 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 29 73 0 07 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation Dimitrios Dimitriadis K. Kumatani R. Gmyr Yashesh Gaur Sefik Emre Eskimez FedML 24 15 0 06 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 38 125 0 05 Aug 2020
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning Ruichen Jiang Sheng Zhou FedML 26 17 0 03 Aug 2020
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization Rui Hu Yanmin Gong Yuanxiong Guo FedML 34 55 0 01 Aug 2020
Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning Deepti Gupta O. Kayode Smriti Bhatt Maanak Gupta A. Tosun 16 23 0 30 Jul 2020
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning Nuria Rodríguez-Barroso Eugenio Martínez-Cámara M. V. Luzón Francisco Herrera FedML AAML 24 35 0 29 Jul 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge Chaoyang He M. Annavaram A. Avestimehr FedML 32 23 0 28 Jul 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems Wentai Wu Ligang He Weiwei Lin Rui Mao 25 78 0 28 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 25 16 0 27 Jul 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 33 192 0 26 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 101 99 0 25 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 26 60 0 22 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 50 83 0 22 Jul 2020