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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"

50 / 1,868 papers shown

Title
SEEC: Semantic Vector Federation across Edge Computing Environments Shalisha Witherspoon Dean Steuer Graham A. Bent N. Desai FedML 65 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 Hao Feng FedML 59 1 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 87 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 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
New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design Kartikeya Bhardwaj Wei Chen R. Marculescu GNN 45 7 0 25 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(DP) $^2$ SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy Jie Xu Wei Zhang Fei Wang FedML 71 8 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 121 86 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 62 5 0 19 Aug 2020
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients Jiaxin Ma Ryo Yonetani Z. Iqbal FedML 101 12 0 18 Aug 2020
Shared MF: A privacy-preserving recommendation system Senci Ying 50 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 87 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 114 25 0 17 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
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient An Xu Zhouyuan Huo Heng-Chiao Huang 75 14 0 13 Aug 2020
Distantly Supervised Relation Extraction in Federated Settings Dianbo Sui Yubo Chen Kang Liu Jun Zhao FedML 73 11 0 12 Aug 2020
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching Farzin Haddadpour Belhal Karimi Ping Li Xiaoyun Li FedML 82 33 0 11 Aug 2020
Holdout SGD: Byzantine Tolerant Federated Learning Shahar Azulay Lior Raz Amir Globerson Tomer Koren Y. Afek FedML 49 5 0 11 Aug 2020
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning Kenta Nagura S. Bian Takashi Sato FedML 29 0 0 11 Aug 2020
Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework Jiawen Kang Zehui Xiong Chunxiao Jiang Yi Liu Song Guo Yang Zhang Dusit Niyato Cyril Leung Chunyan Miao FedML 53 42 0 10 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 85 128 0 07 Aug 2020
SplitNN-driven Vertical Partitioning Iker Ceballos Vivek Sharma Eduardo Mugica Abhishek Singh Alberto Roman Praneeth Vepakomma Ramesh Raskar 73 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 114 165 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 85 130 0 05 Aug 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 131 88 0 04 Aug 2020
The Need for Advanced Intelligence in NFV Management and Orchestration D. Manias Abdallah Shami 42 25 0 03 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 222 650 0 02 Aug 2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy Lichao Sun Jianwei Qian Xun Chen FedML 84 214 0 31 Jul 2020
Federated Visualization: A Privacy-preserving Strategy for Aggregated Visual Query Wei Chen Yating Wei Zhiyong Wang Shuyue Zhou Bingru Lin Zhiguang Zhou FedML 42 3 0 30 Jul 2020
Communication-Efficient Federated Learning via Optimal Client Sampling Mónica Ribero H. Vikalo FedML 87 96 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 97 36 0 29 Jul 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems Wentai Wu Ligang He Weiwei Lin Rui Mao 73 81 0 28 Jul 2020
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT Anmin Fu Xianglong Zhang N. Xiong Yansong Gao Huaqun Wang FedML 59 184 0 27 Jul 2020
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence Aaqib Saeed Flora D. Salim T. Ozcelebi J. Lukkien FedML SSL 196 100 0 25 Jul 2020
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms Yi Liu Jiangtian Nie Xuandi Li Syed Hassan Ahmed Wei Yang Bryan Lim Chunyan Miao 135 152 0 23 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 164 85 0 22 Jul 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 106 250 0 21 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 131 235 0 21 Jul 2020
Fair and autonomous sharing of federate learning models in mobile Internet of Things Xiaohan Hao Wei Ren Ruoting Xiong Xianghan Zheng Tianqing Zhu N. Xiong FedML 24 1 0 21 Jul 2020
Incentives for Federated Learning: a Hypothesis Elicitation Approach Yang Liu Jiaheng Wei FedML 88 23 0 21 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 84 387 0 19 Jul 2020
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms Fengxiang He Bohan Wang Dacheng Tao FedML 55 18 0 18 Jul 2020
Learn distributed GAN with Temporary Discriminators Hui Qu Yikai Zhang Qi Chang Zhennan Yan Chao Chen Dimitris N. Metaxas FedML 57 16 0 17 Jul 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Quoc Tran-Dinh Phuong Ha Nguyen FedML 94 29 0 17 Jul 2020
Prioritized Multi-Criteria Federated Learning Vito Walter Anelli Yashar Deldjoo Tommaso Di Noia Antonio Ferrara FedML 32 9 0 17 Jul 2020
Compression strategies and space-conscious representations for deep neural networks Giosuè Cataldo Marinò G. Ghidoli Marco Frasca D. Malchiodi 32 10 0 15 Jul 2020