Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

50 / 1,849 papers shown

Title
Exact Support Recovery in Federated Regression with One-shot Communication Adarsh Barik Jean Honorio FedML 45 2 0 22 Jun 2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions Stephen Roller Y-Lan Boureau Jason Weston Antoine Bordes Emily Dinan ... Kurt Shuster Eric Michael Smith Arthur Szlam Jack Urbanek Mary Williamson LLMAG AI4CE 28 51 0 22 Jun 2020
D2P-Fed: Differentially Private Federated Learning With Efficient Communication Lun Wang R. Jia Dawn Song FedML 11 0 0 22 Jun 2020
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC Xiang Ma Haijian Sun R. Hu 11 38 0 21 Jun 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization D. Kovalev Adil Salim Peter Richtárik 9 83 0 21 Jun 2020
Federated Learning With Quantized Global Model Updates M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 24 131 0 18 Jun 2020
Neural Parameter Allocation Search Bryan A. Plummer Nikoli Dryden Julius Frost Torsten Hoefler Kate Saenko 22 16 0 18 Jun 2020
Is Network the Bottleneck of Distributed Training? Zhen Zhang Chaokun Chang Yanghua Peng Yida Wang R. Arora Xin Jin 25 70 0 17 Jun 2020
Faster Secure Data Mining via Distributed Homomorphic Encryption Junyi Li Heng-Chiao Huang FedML 36 20 0 17 Jun 2020
Differentially-private Federated Neural Architecture Search Ishika Singh Haoyi Zhou Kunlin Yang Mengxiao Ding Bill Lin P. Xie FedML 10 22 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 32 162 0 16 Jun 2020
Optimal Complexity in Decentralized Training Yucheng Lu Christopher De Sa 38 72 0 15 Jun 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 22 18 0 14 Jun 2020
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 14 45 0 12 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 30 143 0 12 Jun 2020
A Unified Analysis of Stochastic Gradient Methods for Nonconvex Federated Optimization Zhize Li Peter Richtárik FedML 36 36 0 12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data Chengxu Yang Qipeng Wang Mengwei Xu Shangguang Wang Kaigui Bian Yunxin Liu Xuanzhe Liu 24 22 0 12 Jun 2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method Yossi Arjevani Joan Bruna Bugra Can Mert Gurbuzbalaban Stefanie Jegelka Hongzhou Lin 9 16 0 11 Jun 2020
SEFR: A Fast Linear-Time Classifier for Ultra-Low Power Devices Hamidreza Keshavarz M. S. Abadeh Reza Rawassizadeh 24 15 0 08 Jun 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing T. Ryffel Pierre Tholoniat D. Pointcheval Francis R. Bach FedML 28 94 0 08 Jun 2020
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification Guile Wu S. Gong OOD 8 27 0 07 Jun 2020
UVeQFed: Universal Vector Quantization for Federated Learning Nir Shlezinger Mingzhe Chen Yonina C. Eldar H. Vincent Poor Shuguang Cui FedML MQ 24 222 0 05 Jun 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Xingliang Yuan Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 10 279 0 04 Jun 2020
Local SGD With a Communication Overhead Depending Only on the Number of Workers Artin Spiridonoff Alexander Olshevsky I. Paschalidis FedML 25 19 0 03 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES) Andrew Critch David M. Krueger 30 50 0 30 May 2020
Meta Clustering for Collaborative Learning Chenglong Ye R. Ghanadan Jie Ding 23 4 0 29 May 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 34 78 0 29 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Jia Wu Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 20 96 0 25 May 2020
Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data G. Lee S. Shin OOD 27 2 0 24 May 2020
FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data Xinwei Zhang Mingyi Hong S. Dhople W. Yin Yang Liu FedML 21 227 0 22 May 2020
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts Surin Ahn Ayfer Özgür Mert Pilanci 19 0 0 21 May 2020
rTop-k: A Statistical Estimation Approach to Distributed SGD L. P. Barnes Huseyin A. Inan Berivan Isik Ayfer Özgür 32 65 0 21 May 2020
Model Linkage Selection for Cooperative Learning Jiaying Zhou Jie Ding Kean Ming Tan Vahid Tarokh 23 4 0 15 May 2020
Federated Recommendation System via Differential Privacy Tan Li Linqi Song Christina Fragouli FedML 6 60 0 14 May 2020
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization Navjot Singh Deepesh Data Jemin George Suhas Diggavi 19 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 21 3 0 11 May 2020
Efficient Privacy Preserving Edge Computing Framework for Image Classification Omobayode Fagbohungbe Sheikh Rufsan Reza Xishuang Dong Lijun Qian 22 3 0 10 May 2020
Federated Generative Adversarial Learning Chenyou Fan Ping Liu GAN FedML 29 40 0 07 May 2020
Differentially Private Federated Learning with Laplacian Smoothing Zhicong Liang Bao Wang Quanquan Gu Stanley Osher Yuan Yao FedML 12 7 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 26 14 0 30 Apr 2020
Private Dataset Generation Using Privacy Preserving Collaborative Learning Amit Chaulwar FedML 6 2 0 28 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 28 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 18 146 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 9 9 0 22 Apr 2020
Federated Learning with Only Positive Labels Felix X. Yu A. S. Rawat A. Menon Sanjiv Kumar FedML 11 109 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 20 12 0 11 Apr 2020
Prune2Edge: A Multi-Phase Pruning Pipelines to Deep Ensemble Learning in IIoT Besher Alhalabi M. Gaber S. Basurra 8 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 17 117 0 09 Apr 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 22 348 0 09 Apr 2020
FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning Wei Chen Kartikeya Bhardwaj R. Marculescu FedML 6 38 0 07 Apr 2020