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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
Constrained Differentially Private Federated Learning for Low-bandwidth Devices Raouf Kerkouche G. Ács C. Castelluccia P. Genevès 60 7 0 27 Feb 2021
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor Andreas Hellander FedML 80 43 0 27 Feb 2021
Federated Edge Learning with Misaligned Over-The-Air Computation Yulin Shao Deniz Gunduz Soung Chang Liew FedML 78 84 0 26 Feb 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 310 276 0 26 Feb 2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 95 28 0 26 Feb 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 109 61 0 25 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 159 79 0 25 Feb 2021
Distributionally Robust Federated Averaging Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 73 143 0 25 Feb 2021
A Quantitative Metric for Privacy Leakage in Federated Learning Y. Liu Xinghua Zhu Jianzong Wang Jing Xiao FedML 101 22 0 24 Feb 2021
Sustainable Federated Learning Başak Güler Aylin Yener 43 14 0 22 Feb 2021
Federated $f$ -Differential Privacy Qinqing Zheng Shuxiao Chen Qi Long Weijie J. Su FedML 149 55 0 22 Feb 2021
Multiple Kernel-Based Online Federated Learning Jeongmin Chae Songnam Hong 32 0 0 22 Feb 2021
Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems D. Manias Abdallah Shami 59 85 0 19 Feb 2021
Data-Aware Device Scheduling for Federated Edge Learning Afaf Taik Zoubeir Mlika Soumaya Cherkaoui 68 39 0 18 Feb 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks D. Kovalev Egor Shulgin Peter Richtárik Alexander Rogozin Alexander Gasnikov ODL 72 31 0 18 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 276 128 0 16 Feb 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 167 37 0 16 Feb 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 76 30 0 16 Feb 2021
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach Junshan Zhang Na Li M. Dedeoglu FedML 72 42 0 16 Feb 2021
MARINA: Faster Non-Convex Distributed Learning with Compression Eduard A. Gorbunov Konstantin Burlachenko Zhize Li Peter Richtárik 113 110 0 15 Feb 2021
On the Impact of Device and Behavioral Heterogeneity in Federated Learning A. Abdelmoniem Chen-Yu Ho Pantelis Papageorgiou Muhammad Bilal Marco Canini FedML 59 18 0 15 Feb 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 84 17 0 14 Feb 2021
Proximal and Federated Random Reshuffling Konstantin Mishchenko Ahmed Khaled Peter Richtárik FedML 79 32 0 12 Feb 2021
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients Xingyu Li Zhe Qu Bo Tang Zhuo Lu FedML 117 32 0 12 Feb 2021
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data Kai-Fung Chu Lintao Zhang FedML 30 9 0 11 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 130 58 0 09 Feb 2021
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data Tao R. Lin Sai Praneeth Karimireddy Sebastian U. Stich Martin Jaggi FedML 112 101 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 67 52 0 09 Feb 2021
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach Yikai Zhang Hui Qu Qi Chang Huidong Liu Dimitris N. Metaxas Chao Chen FedML 75 12 0 09 Feb 2021
Federated Acoustic Modeling For Automatic Speech Recognition Xiaodong Cui Songtao Lu Brian Kingsbury 64 34 0 08 Feb 2021
Coordinating Momenta for Cross-silo Federated Learning An Xu Heng-Chiao Huang FedML 74 19 0 08 Feb 2021
Network Support for High-performance Distributed Machine Learning F. Malandrino C. Chiasserini Nuria Molner Antonio de la Oliva 101 10 0 05 Feb 2021
Randomized Controlled Trials without Data Retention Winston Chou 27 1 0 05 Feb 2021
DEAL: Decremental Energy-Aware Learning in a Federated System Wenting Zou Li Li Zichen Xu Chengzhong Xu FedML 30 0 0 05 Feb 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings Dimitris Stripelis J. Ambite FedML 123 41 0 04 Feb 2021
SAFELearning: Enable Backdoor Detectability In Federated Learning With Secure Aggregation Zhuosheng Zhang Jiarui Li Shucheng Yu C. Makaya FedML 63 23 0 04 Feb 2021
Provably Secure Federated Learning against Malicious Clients Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong FedML 101 138 0 03 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 138 1 0 02 Feb 2021
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning Amirhossein Malekijoo Mohammad Javad Fadaeieslam Hanieh Malekijou Morteza Homayounfar F. Alizadeh-Shabdiz Reza Rawassizadeh FedML 96 55 0 02 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 116 108 0 02 Feb 2021
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning Wenzhuo Yang Yipeng Zhou Maio Hu Di Wu J. Zheng Hui Wang Song Guo FedML 59 12 0 31 Jan 2021
Differential Privacy Meets Federated Learning under Communication Constraints Nima Mohammadi Jianan Bai Nan Cheng Yifei Song Yuhao Yi Lingjia Liu FedML 69 31 0 28 Jan 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 152 93 0 28 Jan 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity Yiying Li Wei Zhou Huaimin Wang Haibo Mi Timothy M. Hospedales FedML 168 29 0 27 Jan 2021
An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems A. Abdelmoniem Ahmed Elzanaty Mohamed-Slim Alouini Marco Canini 132 77 0 26 Jan 2021
Adaptive Scheduling for Machine Learning Tasks over Networks Konstantinos Gatsis 128 3 0 25 Jan 2021
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation Ranwa Al Mallah David López Godwin Badu-Marfo Bilal Farooq AAML 103 39 0 24 Jan 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 66 7 0 23 Jan 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 89 49 0 21 Jan 2021
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning Naifu Zhang M. Tao Jia Wang FedML 64 4 0 21 Jan 2021