Optimal Client Sampling for Federated Learning

26 October 2020

Papers citing "Optimal Client Sampling for Federated Learning"

50 / 102 papers shown

Title
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning Shudi Weng Chao Ren Ming Xiao Mikael Skoglund FedML 19 0 0 16 May 2025
Diffusion Learning with Partial Agent Participation and Local Updates Elsa Rizk Kun Yuan Ali H. Sayed 9 0 0 16 May 2025
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 0 0 21 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 39 0 0 02 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yongqian Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 46 0 0 31 Mar 2025
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 44 0 0 08 Mar 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 64 1 0 25 Jan 2025
A Unified Analysis of Federated Learning with Arbitrary Client Participation Shiqiang Wang Mingyue Ji FedML 44 55 0 31 Dec 2024
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Jincheol Jung Hongju Jeong Eui-Nam Huh 91 0 0 18 Dec 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 183 1 0 19 Nov 2024
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 26 0 0 02 Oct 2024
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning Zhidong Gao Zhenxiao Zhang Yu Zhang Tongnian Wang Yanmin Gong Yuanxiong Guo 35 0 0 29 Sep 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu Yi-Ting Ma Do Young Eun FedML 27 0 0 26 Sep 2024
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 37 5 0 26 Sep 2024
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 48 4 0 19 Sep 2024
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters Vasileios Tsouvalas Samaneh Mohammadi Ali Balador T. Ozcelebi Francesco Flammini N. Meratnia FedML 38 0 0 13 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 34 1 0 30 May 2024
FedStale: leveraging stale client updates in federated learning Angelo Rodio Giovanni Neglia FedML 37 4 0 07 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 40 1 0 04 May 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 48 0 0 03 May 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 38 4 0 22 Apr 2024
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics Ming Xiang Stratis Ioannidis Edmund Yeh Carlee Joe-Wong Lili Su FedML 29 2 0 15 Apr 2024
Efficient Unbiased Sparsification Leighton Barnes Timothy Chow Emma Cohen Keith Frankston Benjamin Howard Fred Kochman Daniel Scheinerman Jeffrey VanderKam OT 31 1 0 22 Feb 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling Jiaxiang Geng Yanzhao Hou Xiaofeng Tao Juncheng Wang Bing Luo FedML 21 0 0 15 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 46 2 0 07 Feb 2024
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks Md Ferdous Pervej A. Molisch 41 3 0 06 Feb 2024
Decomposable Submodular Maximization in Federated Setting Akbar Rafiey FedML 30 1 0 31 Jan 2024
Federated Hyperdimensional Computing Kazim Ergun Rishikanth Chandrasekaran Tajana Simunic FedML 15 0 0 26 Dec 2023
On the Role of Server Momentum in Federated Learning Jianhui Sun Xidong Wu Heng-Chiao Huang Aidong Zhang FedML 60 11 0 19 Dec 2023
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service Meiying Zhang Huan Zhao Sheldon C Ebron Ruitao Xie Kan Yang 16 1 0 05 Dec 2023
Federated Fine-Tuning of Foundation Models via Probabilistic Masking Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed FedML 81 3 0 29 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 19 1 0 06 Nov 2023
EcoLearn: Optimizing the Carbon Footprint of Federated Learning Talha Mehboob Noman Bashir Jesus Omana Iglesias Michael Zink David Irwin 22 0 0 27 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 38 0 0 06 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 17 1 0 04 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 8 2 0 30 Sep 2023
Federated Learning Under Restricted User Availability Periklis Theodoropoulos Konstantinos E. Nikolakakis Dionysios S. Kalogerias FedML 26 1 0 25 Sep 2023
Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang Ping Li Xiaoyun Li 37 195 0 16 Aug 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 26 0 0 12 Jul 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 28 6 0 28 Jun 2023
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang Mingyue Ji FedML 32 0 0 06 Jun 2023
Improving Accelerated Federated Learning with Compression and Importance Sampling Michal Grudzieñ Grigory Malinovsky Peter Richtárik FedML 35 8 0 05 Jun 2023
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 37 4 0 26 May 2023
Client Selection for Federated Policy Optimization with Environment Heterogeneity Zhijie Xie S. H. Song 27 3 0 18 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation Bing Luo Yutong Feng Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 23 10 0 17 Apr 2023
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation Joshua C. Zhao Atul Sharma A. Elkordy Yahya H. Ezzeldin Salman Avestimehr S. Bagchi AAML FedML 35 28 0 21 Mar 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 20 10 0 07 Mar 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
FilFL: Client Filtering for Optimized Client Participation in Federated Learning Fares Fourati Salma Kharrat Vaneet Aggarwal Mohamed-Slim Alouini Marco Canini FedML 16 4 0 13 Feb 2023