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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
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 129 137 0 26 Feb 2020
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning Siqi Luo Xu Chen Qiong Wu Zhi Zhou Shuai Yu FedML 143 346 0 26 Feb 2020
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 99 22 0 25 Feb 2020
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training An Xu Zhouyuan Huo Heng-Chiao Huang MQ 40 6 0 25 Feb 2020
Distributed Ledger for Provenance Tracking of Artificial Intelligence Assets Philipp Lüthi Thibault Gagnaux Marcel Gygli 29 14 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 142 581 0 25 Feb 2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art Ahmed Imteaj Urmish Thakker Shiqiang Wang Jian Li M. Amini 80 63 0 25 Feb 2020
Learning Structured Distributions From Untrusted Batches: Faster and Simpler Sitan Chen Jungshian Li Ankur Moitra 71 18 0 24 Feb 2020
An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning Xue Yang Yan Feng Weijun Fang Jun Shao Xiaohu Tang Shutao Xia Rongxing Lu FedML AAML 97 45 0 23 Feb 2020
Communication-Efficient Decentralized Learning with Sparsification and Adaptive Peer Selection Zhenheng Tang Shaoshuai Shi Xiaowen Chu FedML 62 58 0 22 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 101 335 0 22 Feb 2020
Uncertainty Principle for Communication Compression in Distributed and Federated Learning and the Search for an Optimal Compressor M. Safaryan Egor Shulgin Peter Richtárik 110 61 0 20 Feb 2020
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 115 25 0 20 Feb 2020
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos Dianbo Liu Timothy A. Miller AI4MH 71 36 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 201 580 0 19 Feb 2020
Federated Extra-Trees with Privacy Preserving Yang Liu Mingxi Chen Wenxi Zhang Junbo Zhang Yu Zheng FedML 121 3 0 18 Feb 2020
Federated Neural Architecture Search Jinliang Yuan Mengwei Xu Yuxin Zhao Kaigui Bian Gang Huang Xuanzhe Liu Shangguang Wang FedML 110 35 0 15 Feb 2020
Optimal Pricing of Internet of Things: A Machine Learning Approach Mohammad Abu Alsheikh D. Hoang Dusit Niyato Derek Leong Ping Wang Zhu Han 32 17 0 14 Feb 2020
Robustness analytics to data heterogeneity in edge computing Jia Qian Lars Kai Hansen Xenofon Fafoutis Prayag Tiwari Hari Mohan Pandey FedML 58 5 0 12 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 119 304 0 11 Feb 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 103 388 0 10 Feb 2020
Differentially Quantized Gradient Methods Chung-Yi Lin V. Kostina B. Hassibi MQ 92 8 0 06 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 205 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 125 47 0 05 Feb 2020
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework Hongyu Li D. Meng Hong Wang Xiaolin Li 55 2 0 05 Feb 2020
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets A. Ferdowsi Walid Saad AI4CE 47 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 154 175 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 71 283 0 25 Jan 2020
Mechanism Design for Multi-Party Machine Learning Mengjing Chen Yang Liu Weiran Shen Yiheng Shen Pingzhong Tang Qiang Yang FedML 61 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 74 11 0 23 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 67 299 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 70 15 0 21 Jan 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi Zhou 150 25 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 61 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 169 305 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 117 318 0 16 Jan 2020
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach Pengchao Han Shiqiang Wang K. Leung FedML 86 182 0 14 Jan 2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning A. Albaseer Bekir Sait Ciftler M. Abdallah Ala I. Al-Fuqaha 81 18 0 10 Jan 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 141 651 0 08 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method Bekir Sait Ciftler A. Albaseer Noureddine Lasla M. Abdallah FedML 53 25 0 07 Jan 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 170 671 0 31 Dec 2019
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 76 40 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 95 154 0 30 Dec 2019
Towards Deep Federated Defenses Against Malware in Cloud Ecosystems Josh Payne A. Kundu FedML 51 10 0 27 Dec 2019
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 72 311 0 27 Dec 2019
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 65 104 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 58 35 0 25 Dec 2019
Distributed Fixed Point Methods with Compressed Iterates Sélim Chraibi Ahmed Khaled D. Kovalev Peter Richtárik Adil Salim Martin Takávc FedML 66 17 0 20 Dec 2019
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 78 35 0 17 Dec 2019
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 67 290 0 12 Dec 2019