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
Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Yujing Chen Yue Ning Martin Slawski Huzefa Rangwala FedML 20 56 0 05 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 23 16 0 05 Nov 2019
A Crowdsourcing Framework for On-Device Federated Learning Shashi Raj Pandey N. H. Tran M. Bennis Y. Tun Aunas Manzoor Choong Seon Hong FedML 19 250 0 04 Nov 2019
Robust Federated Learning with Noisy Communication F. Ang Li Chen Senior Member Ieee Nan Zhao Senior Member Ieee Yunfei Chen Weidong Wang Feng Yu FedML 11 116 0 01 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma H. Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 32 1,563 0 01 Nov 2019
Energy-Aware Analog Aggregation for Federated Learning with Redundant Data Yuxuan Sun Sheng Zhou Deniz Gündüz FedML 17 95 0 01 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 19 266 0 31 Oct 2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection Lingchen Zhao Shengshan Hu Qian Wang Jianlin Jiang Chao Shen Xiangyang Luo Pengfei Hu AAML 17 93 0 29 Oct 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 19 330 0 29 Oct 2019
Distributed Networked Learning with Correlated Data Lingzhou Hong Alfredo García Ceyhun Eksin FedML 20 1 0 28 Oct 2019
Evaluating Lottery Tickets Under Distributional Shifts Shrey Desai Hongyuan Zhan Ahmed Aly UQCV OOD 18 41 0 28 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 23 51 0 27 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 91 19,440 0 23 Oct 2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019
Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Rulin Shao Hongyu Hè Hui Liu Dianbo Liu FedML OOD 17 13 0 23 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Abnormal Client Behavior Detection in Federated Learning Suyi Li Yong Cheng Yang Liu Wei Wang Tianjian Chen AAML 8 134 0 22 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 29 70 0 18 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 22 343 0 14 Oct 2019
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks Jy-yong Sohn Dong-Jun Han Beongjun Choi Jaekyun Moon FedML 11 36 0 14 Oct 2019
Eavesdrop the Composition Proportion of Training Labels in Federated Learning Lixu Wang Shichao Xu Tianlin Li Qi Zhu FedML 20 62 0 14 Oct 2019
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach Haoran Sun Songtao Lu Mingyi Hong 19 37 0 13 Oct 2019
Quantification of the Leakage in Federated Learning Zhaorui Li Zhicong Huang Chaochao Chen Cheng Hong FedML PILM 13 22 0 12 Oct 2019
Central Server Free Federated Learning over Single-sided Trust Social Networks Chaoyang He Conghui Tan Hanlin Tang Shuang Qiu Ji Liu FedML 18 73 0 11 Oct 2019
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning Yuqing Du Sheng Yang Kaibin Huang 32 99 0 09 Oct 2019
Federated Learning of N-gram Language Models Mingqing Chen A. Suresh Rajiv Mathews Adeline Wong Cyril Allauzen F. Beaufays Michael Riley FedML 10 74 0 08 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent Wei Liu Li Chen Yunfei Chen Wenyi Zhang FedML AI4CE 20 287 0 08 Oct 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field Zenan Li Xiaoxing Ma Chang Xu Jingwei Xu Chun Cao Jian Lu 24 28 0 06 Oct 2019
Neural Multisensory Scene Inference Jae Hyun Lim Pedro H. O. Pinheiro Negar Rostamzadeh C. Pal Sungjin Ahn 14 10 0 06 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning Rulin Shao Hui Liu Dianbo Liu 25 10 0 04 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 57 966 0 04 Oct 2019
Minimax Bounds for Distributed Logistic Regression Florent Chiaroni N. Hueber FedML 12 5 0 03 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 20 300 0 03 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Active Federated Learning Jack Goetz Kshitiz Malik D. Bui Seungwhan Moon Honglei Liu Anuj Kumar FedML 11 134 0 27 Sep 2019
Federated User Representation Learning D. Bui Kshitiz Malik Jack Goetz Honglei Liu Seungwhan Moon Anuj Kumar Kang G. Shin FedML 27 62 0 27 Sep 2019
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 21 586 0 27 Sep 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 38 444 0 26 Sep 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 47 55 0 24 Sep 2019
Research Directions in Democratizing Innovation through Design Automation, One-Click Manufacturing Services and Intelligent Machines B. Starly A. Angrish P. Cohen AI4CE 19 2 0 23 Sep 2019
Optimal query complexity for private sequential learning against eavesdropping Jiaming Xu Kuang Xu Dana Yang FedML 17 1 0 21 Sep 2019
Towards Federated Graph Learning for Collaborative Financial Crimes Detection Toyotaro Suzumura Yi Zhou Natahalie Barcardo Guangann Ye Keith Houck ... Yuji Watanabe Pablo S. Loyola Daniel Klyashtorny Heiko Ludwig Kumar Bhaskaran FedML 25 70 0 19 Sep 2019
Detailed comparison of communication efficiency of split learning and federated learning Abhishek Singh Praneeth Vepakomma O. Gupta Ramesh Raskar FedML 21 188 0 18 Sep 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 25 25 0 18 Sep 2019
Measure Contribution of Participants in Federated Learning Guan Wang Charlie Xiaoqian Dang Ziye Zhou FedML 28 195 0 17 Sep 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun Tianyi Chen G. Giannakis Zaiyue Yang 14 93 0 17 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 8 1,180 0 17 Sep 2019
BAFFLE : Blockchain Based Aggregator Free Federated Learning P. Ramanan K. Nakayama FedML 15 169 0 16 Sep 2019
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction Boyue Li Shicong Cen Yuxin Chen Yuejie Chi 14 12 0 12 Sep 2019
Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging Luis Muñoz-González Kenneth T. Co Emil C. Lupu FedML 24 180 0 11 Sep 2019