Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,848 papers shown

Title
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 8 378 0 10 Feb 2020
Differentially Quantized Gradient Methods Chung-Yi Lin V. Kostina B. Hassibi MQ 30 7 0 06 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 22 47 0 06 Feb 2020
Pure Differentially Private Summation from Anonymous Messages Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Rasmus Pagh A. Velingker FedML 31 46 0 05 Feb 2020
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework Hongyu Li D. Meng Hong Wang Xiaolin Li 7 2 0 05 Feb 2020
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets A. Ferdowsi Walid Saad AI4CE 7 17 0 02 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 92 170 0 28 Jan 2020
TiFL: A Tier-based Federated Learning System Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 16 274 0 25 Jan 2020
Mechanism Design for Multi-Party Machine Learning Mengjing Chen Yang Liu Weiran Shen Yiheng Shen Pingzhong Tang Qiang Yang FedML 6 15 0 24 Jan 2020
RPN: A Residual Pooling Network for Efficient Federated Learning Anbu Huang Yuanyuan Chen Yang Liu Tianjian Chen Qiang Yang FedML 13 11 0 23 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics Nicolas Aussel S. Chabridon Y. Petetin AI4CE FedML 17 15 0 21 Jan 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi-Hua Zhou 25 24 0 20 Jan 2020
Ownership preserving AI Market Places using Blockchain N. Somy Kalapriya Kannan Vijay Arya Sandeep Hans Abhishek Singh P. Lohia S. Mehta 4 35 0 18 Jan 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu Anbu Huang Yu Luo He Huang Youzhi Liu Yuanyuan Chen Lican Feng Tianjian Chen Hang Yu Qiang Yang FedML 27 299 0 17 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 39 308 0 16 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 35 175 0 14 Jan 2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning A. Albaseer Bekir Sait Ciftler M. Abdallah Ala I. Al-Fuqaha 25 18 0 10 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 23 623 0 08 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method Bekir Sait Ciftler A. Albaseer Noureddine Lasla M. Abdallah FedML 6 24 0 07 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 37 629 0 31 Dec 2019
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 25 39 0 30 Dec 2019
Variance Reduced Local SGD with Lower Communication Complexity Xian-Feng Liang Shuheng Shen Jingchang Liu Zhen Pan Enhong Chen Yifei Cheng FedML 27 152 0 30 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 21 10 0 27 Dec 2019
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 18 305 0 27 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 18 102 0 26 Dec 2019
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records Jianfei Cui He Zhu Hao Deng Ziwei Chen Dianbo Liu 15 33 0 25 Dec 2019
Distributed Fixed Point Methods with Compressed Iterates Sélim Chraibi Ahmed Khaled D. Kovalev Peter Richtárik Adil Salim Martin Takávc FedML 11 16 0 20 Dec 2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 19 33 0 17 Dec 2019
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 16 287 0 12 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 74 6,079 0 10 Dec 2019
Collective Learning Francesco Farina FedML 12 23 0 05 Dec 2019
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 24 58 0 03 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 30 811 0 02 Dec 2019
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression Kairan Yang Tao Fan Tianjian Chen Yuanming Shi Qiang Yang FedML 14 93 0 01 Dec 2019
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings Han Zhang Hong Xu 14 1 0 01 Dec 2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation Keith Bonawitz Fariborz Salehi Jakub Konecný H. B. McMahan Marco Gruteser FedML 14 72 0 30 Nov 2019
Free-riders in Federated Learning: Attacks and Defenses Jierui Lin Min Du Jian-Dong Liu FedML 10 111 0 28 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 46 1,074 0 26 Nov 2019
Federated Learning for Ranking Browser History Suggestions Florian Hartmann Sunah Suh Arkadiusz Komarzewski Tim Smith I. Segall FedML 6 55 0 26 Nov 2019
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks Yansong Gao Yeonjae Kim Bao Gia Doan Zhi-Li Zhang Gongxuan Zhang Surya Nepal Damith C. Ranasinghe Hyoungshick Kim AAML 7 85 0 23 Nov 2019
Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback Avishek Ghosh R. Maity S. Kadhe A. Mazumdar Kannan Ramchandran FedML 21 27 0 21 Nov 2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates Cong Xie Oluwasanmi Koyejo Indranil Gupta Yanghua Peng 26 41 0 20 Nov 2019
vqSGD: Vector Quantized Stochastic Gradient Descent V. Gandikota Daniel Kane R. Maity A. Mazumdar MQ 14 4 0 18 Nov 2019
Distributed Machine Learning through Heterogeneous Edge Systems Han Hu Dan Wang Chuan Wu 17 43 0 16 Nov 2019
Asynchronous Distributed Learning from Constraints Francesco Farina S. Melacci A. Garulli Antonio Giannitrapani 12 6 0 13 Nov 2019
Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning XINYAN DAI Xiao Yan Kaiwen Zhou Han Yang K. K. Ng James Cheng Yu Fan FedML 27 47 0 12 Nov 2019
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning Dingzhu Wen Xiaoyang Li Qunsong Zeng Jinke Ren Kaibin Huang 8 24 0 10 Nov 2019
L-FGADMM: Layer-Wise Federated Group ADMM for Communication Efficient Decentralized Deep Learning Anis Elgabli Jihong Park Sabbir Ahmed M. Bennis FedML 17 20 0 09 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 8 30 0 06 Nov 2019