Federated Learning: Strategies for Improving Communication Efficiency

18 October 2016

Dave Bacon

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

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Title
An Optimal Algorithm for Strongly Convex Min-min Optimization Alexander Gasnikov D. Kovalev Grigory Malinovsky 32 1 0 29 Dec 2022
Can 5th Generation Local Training Methods Support Client Sampling? Yes! Michal Grudzieñ Grigory Malinovsky Peter Richtárik 37 29 0 29 Dec 2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 41 60 0 27 Dec 2022
LOCKS: User Differentially Private and Federated Optimal Client Sampling Ajinkya Mulay FedML 26 0 0 26 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 32 1 0 23 Dec 2022
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 53 66 0 20 Dec 2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning Sayak Mukherjee Ramij-Raja Hossain Yuan Liu W. Du Veronica Adetola Sheik M. Mohiuddin Qiuhua Huang Tianzhixi Yin Ankit Singhal 31 4 0 17 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Weilong Dong Xinwei Wu Junzhuo Li Shuangzhi Wu Chao Bian Deyi Xiong FedML 34 6 0 16 Dec 2022
Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization Heting Liu Fang He Guohong Cao FedML MQ 37 24 0 16 Dec 2022
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms Ahnaf Hannan Lodhi Barış Akgün Öznur Özkasap FedML 6 4 0 14 Dec 2022
Privacy-Preserving Collaborative Learning through Feature Extraction A. Sarmadi Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami FedML 32 6 0 13 Dec 2022
PaDPaF: Partial Disentanglement with Partially-Federated GANs Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 23 0 0 07 Dec 2022
Reconstructing Training Data from Model Gradient, Provably Zihan Wang Jason D. Lee Qi Lei FedML 32 24 0 07 Dec 2022
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration A. Bogdanova A. Imakura T. Sakurai Tomoya Fujii Teppei Sakamoto Hiroyuki Abe FedML 24 2 0 06 Dec 2022
Straggler-Resilient Differentially-Private Decentralized Learning Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer 38 6 0 06 Dec 2022
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics Yun-Wei Chu Seyyedali Hosseinalipour Elizabeth Tenorio Laura Cruz K. Douglas Andrew Lan Christopher G. Brinton AI4Ed 51 10 0 05 Dec 2022
Federated Neural Topic Models Lorena Calvo-Bartolomé Jerónimo Arenas-García FedML 25 0 0 05 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks Yeguang Qin Yilin Yang Fengxiao Tang Xin Yao Mingde Zhao Nei Kato 32 6 0 05 Dec 2022
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 36 20 0 02 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 48 3 0 01 Dec 2022
On the Design of Communication-Efficient Federated Learning for Health Monitoring D. Chu Wael Jaafar H. Yanikomeroglu FedML 19 12 0 30 Nov 2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning Young Geun Kim Carole-Jean Wu FedML 27 5 0 30 Nov 2022
AquaFeL-PSO: A Monitoring System for Water Resources using Autonomous Surface Vehicles based on Multimodal PSO and Federated Learning Micaela Jara Ten Kathen Princy A. Johnson Isabel Jurado Flores Daniel Gutiérrez-Reina 12 2 0 28 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 35 18 0 27 Nov 2022
FedSysID: A Federated Approach to Sample-Efficient System Identification Han Wang Leonardo F. Toso James Anderson FedML 29 17 0 25 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels Soroosh Tayebi Arasteh P. Isfort Marwin Saehn Gustav Mueller-Franzes Firas Khader Jakob Nikolas Kather Christiane Kuhl S. Nebelung Daniel Truhn FedML 40 15 0 24 Nov 2022
A Dynamic Weighted Federated Learning for Android Malware Classification Ayushi Chaudhuri Arijit Nandi Buddhadeb Pradhan FedML 14 7 0 23 Nov 2022
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 29 6 0 23 Nov 2022
Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift Bhargav Ganguly Vaneet Aggarwal FedML 24 8 0 22 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes Sunwook Hwang Youngseok Kim Seongwon Kim S. Bahk Hyung-Sin Kim 3DPC 36 3 0 22 Nov 2022
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 34 3 0 19 Nov 2022
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery Sheng Guo Zengxian Li Hui Liu Shubao Zhao C. Jin FedML AI4CE 24 6 0 17 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 45 226 0 15 Nov 2022
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things Soeren Becker K. Styp-Rekowski O. Stoll O. Kao AI4CE 19 9 0 14 Nov 2022
Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting Beltrán Labrador Guanlong Zhao Ignacio López Moreno Angelo Scorza Scarpati Liam H. Fowl Quan Wang 19 2 0 11 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 31 7 0 10 Nov 2022
Robust Smart Home Face Recognition under Starving Federated Data Jaechul Roh Yajun Fang FedML CVBM AAML 29 0 0 10 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 25 17 0 09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 47 7 0 08 Nov 2022
Federated Learning Using Three-Operator ADMM Shashi Kant J. M. B. D. Silva Gábor Fodor B. Goransson M. Bengtsson Carlo Fischione FedML 19 5 0 08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 35 14 0 08 Nov 2022
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 37 4 0 07 Nov 2022
Over-The-Air Clustered Wireless Federated Learning Ayush Madhan-Sohini Divin Dominic Nazreen Shah Ranjitha Prasad 34 2 0 07 Nov 2022
Distributed Linear Bandits under Communication Constraints Sudeep Salgia Qing Zhao 48 7 0 04 Nov 2022
Fairness in Federated Learning via Core-Stability Bhaskar Chaudhury Linyi Li Mintong Kang Bo Li R. Mehta FedML 28 29 0 03 Nov 2022
Adaptive Compression for Communication-Efficient Distributed Training Maksim Makarenko Elnur Gasanov Rustem Islamov Abdurakhmon Sadiev Peter Richtárik 55 14 0 31 Oct 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient Afsaneh Mahmoudi José Hélio da Cruz Júnior H. S. Ghadikolaei Carlo Fischione 34 7 0 31 Oct 2022
Blind Asynchronous Over-the-Air Federated Edge Learning Saeed Razavikia Jaume Anguera Peris J. M. B. D. Silva Carlo Fischione FedML 29 11 0 31 Oct 2022