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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
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 77 65 0 21 May 2020
Model Linkage Selection for Cooperative Learning Jiaying Zhou Jie Ding Kean Ming Tan Vahid Tarokh 71 4 0 15 May 2020
Federated Recommendation System via Differential Privacy Tan Li Linqi Song Christina Fragouli FedML 94 61 0 14 May 2020
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization Navjot Singh Deepesh Data Jemin George Suhas Diggavi 91 55 0 13 May 2020
deepSELF: An Open Source Deep Self End-to-End Learning Framework Tomoya Koike Kun Qian Björn W. Schuller Yoshiharu Yamamoto SLR HAI 34 3 0 11 May 2020
Efficient Privacy Preserving Edge Computing Framework for Image Classification Omobayode Fagbohungbe Sheikh Rufsan Reza Xishuang Dong Lijun Qian 61 3 0 10 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 133 40 0 07 May 2020
Differentially Private Federated Learning with Laplacian Smoothing Zhicong Liang Bao Wang Quanquan Gu Stanley Osher Yuan Yao FedML 81 8 0 01 May 2020
Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging Shigang Li Tal Ben-Nun Giorgi Nadiradze Salvatore Di Girolamo Nikoli Dryden Dan Alistarh Torsten Hoefler 75 15 0 30 Apr 2020
Private Dataset Generation Using Privacy Preserving Collaborative Learning Amit Chaulwar FedML 29 2 0 28 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 135 15 0 24 Apr 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 111 150 0 22 Apr 2020
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints Qing Han Shusen Yang Xuebin Ren Cong Zhao Jingqi Zhang Xinyu Yang 25 9 0 22 Apr 2020
Federated Learning with Only Positive Labels Felix X. Yu A. S. Rawat A. Menon Sanjiv Kumar FedML 71 112 0 21 Apr 2020
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow Balamurali Murugesan S. Vijayarangan Kaushik Sarveswaran Keerthi Ram M. Sivaprakasam 81 12 0 11 Apr 2020
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT Besher Alhalabi M. Gaber S. Basurra 20 1 0 09 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 63 120 0 09 Apr 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 52 363 0 09 Apr 2020
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen Kartikeya Bhardwaj R. Marculescu FedML 56 38 0 07 Apr 2020
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks K. Mandal G. Gong FedML 136 73 0 05 Apr 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky D. Kovalev Elnur Gasanov Laurent Condat Peter Richtárik FedML 154 117 0 03 Apr 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 80 408 0 02 Apr 2020
Assisted Learning: A Framework for Multi-Organization Learning Xun Xian Xinran Wang Jie Ding R. Ghanadan FedML 50 1 0 01 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 118 197 0 01 Apr 2020
An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies David Enthoven Zaid Al-Ars FedML 93 51 0 01 Apr 2020
Increasing negotiation performance at the edge of the network Sam Vente Angelika Kimmig Alun D. Preece Federico Cerutti 53 5 0 30 Mar 2020
Semi-Federated Learning Zhikun Chen Daofeng Li Mingde Zhao Sihai Zhang Jinkang Zhu FedML 46 18 0 28 Mar 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
The Internet of Things as a Deep Neural Network Rong Du Sindri Magnússon Carlo Fischione 42 7 0 23 Mar 2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning Shaoxiong Ji Wenqi Jiang A. Walid Xue Li FedML 97 68 0 21 Mar 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James Jianqiao Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 96 451 0 19 Mar 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 70 9 0 18 Mar 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 81 124 0 16 Mar 2020
Policy-Based Federated Learning Kleomenis Katevas Eugene Bagdasaryan J. Waterman Mohamad Mounir Safadieh Eleanor Birrell Hamed Haddadi D. Estrin 32 0 0 14 Mar 2020
Machine Learning on Volatile Instances Xiaoxi Zhang Jianyu Wang Gauri Joshi Carlee Joe-Wong 58 25 0 12 Mar 2020
Communication-efficient Variance-reduced Stochastic Gradient Descent H. S. Ghadikolaei Sindri Magnússon 54 3 0 10 Mar 2020
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey Zhenheng Tang Shaoshuai Shi Wei Wang Yue Liu Xiaowen Chu 83 49 0 10 Mar 2020
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing Feng Yin Zhidi Lin Yue Xu Qinglei Kong Deshi Li Sergios Theodoridis Shuguang Cui Cui FedML 156 4 0 08 Mar 2020
Trends and Advancements in Deep Neural Network Communication Felix Sattler Thomas Wiegand Wojciech Samek GNN 72 9 0 06 Mar 2020
Decentralized SGD with Over-the-Air Computation Emre Ozfatura Stefano Rini Deniz Gunduz 70 38 0 06 Mar 2020
Practical Privacy Preserving POI Recommendation Chaochao Chen Jun Zhou Bingzhe Wu W. Fang Li Wang Yuan Qi Xiaolin Zheng 80 68 0 05 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search Hangyu Zhu Yaochu Jin FedML 208 73 0 04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning Yangsibo Huang Yushan Su S. S. Ravi Zhao Song Sanjeev Arora Keqin Li MLT 73 16 0 04 Mar 2020
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors Jie Liu Jiawen Liu Zhen Xie Dong Li 118 5 0 03 Mar 2020
Marketplace for AI Models Abhishek Kumar Benjamin Finley Tristan Braud Sasu Tarkoma Pan Hui DiffM 66 14 0 03 Mar 2020
Buffered Asynchronous SGD for Byzantine Learning Yi-Rui Yang Wu-Jun Li FedML 63 5 0 02 Mar 2020
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo Zhang H. Vincent Poor FedML 57 11 0 29 Feb 2020
Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data Praneeth Narayanamurthy Namrata Vaswani Aditya Ramamoorthy 69 10 0 28 Feb 2020
On Biased Compression for Distributed Learning Aleksandr Beznosikov Samuel Horváth Peter Richtárik M. Safaryan 111 189 0 27 Feb 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 71 7 0 27 Feb 2020