Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies

3 October 2020

Papers citing "Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies"

50 / 163 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
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
Balancing Client Participation in Federated Learning Using AoI Alireza Javani Zhiying Wang 48 0 0 08 May 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 31 0 0 07 Apr 2025
SparsyFed: Sparse Adaptive Federated Training Adriano Guastella Lorenzo Sani Alex Iacob Alessio Mora Paolo Bellavista Nicholas D. Lane FedML 31 0 0 07 Apr 2025
A Thorough Assessment of the Non-IID Data Impact in Federated Learning Daniel Gutiérrez Mehrdad Hassanzadeh Aris Anagnostopoulos I. Chatzigiannakis A. Vitaletti 44 0 0 21 Mar 2025
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing Martino Chiarani Swastika Roy C. Verikoukis Fabrizio Granelli 70 1 0 16 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective Yunjie Fang Sheng Wu Tao Yang X. Wu Bo Hu FedML 55 0 0 13 Mar 2025
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction Robert Marlin Raja Jurdak Alsharif Abuadbba 57 0 0 25 Feb 2025
Scalable Decentralized Learning with Teleportation Yuki Takezawa Sebastian U. Stich 64 1 0 25 Jan 2025
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 46 0 0 31 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 75 0 0 02 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 0 0 19 Nov 2024
Photon: Federated LLM Pre-Training Lorenzo Sani Alex Iacob Zeyu Cao Royson Lee Bill Marino ... Dongqi Cai Zexi Li Wanru Zhao Xinchi Qiu Nicholas D. Lane AI4CE 36 7 0 05 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients Han Liang Ziwei Zhan Weijie Liu Xiaoxi Zhang Chee Wei Tan Xu Chen FedML 33 0 0 04 Nov 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 26 0 0 24 Oct 2024
Age-of-Gradient Updates for Federated Learning over Random Access Channels Yu Heng Wu Houman Asgari Stefano Rini Andrea Munari FedML 21 1 0 15 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 27 0 0 07 Oct 2024
Influence-oriented Personalized Federated Learning Yue Tan Guodong Long Jing Jiang Chengqi Zhang FedML 31 0 0 04 Oct 2024
Debiasing Federated Learning with Correlated Client Participation Zhenyu Sun Ziyang Zhang Zheng Xu Gauri Joshi Pranay Sharma Ermin Wei FedML 29 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
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 5 0 17 Sep 2024
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning Andrés Catalino Castillo Jiménez Ege C. Kaya Lintao Ye Abolfazl Hashemi FedML 51 2 0 24 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems T. Legler Vinit Hegiste Martin Ruskowski FedML 38 1 0 18 Aug 2024
Strategic Federated Learning: Application to Smart Meter Data Clustering Hassan Mohamad Chao Zhang S. Lasaulce V. Varma Mérouane Debbah Mounir Ghogho FedML 25 0 0 05 Aug 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 53 0 0 05 Jul 2024
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks Fan Dong Henry Leung Steve Drew 30 0 0 25 Jun 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 40 4 0 25 Jun 2024
Optimisation of federated learning settings under statistical heterogeneity variations Basem Suleiman M. J. Alibasa R. Purwanto Lewis Jeffries Ali Anaissi Jacky Song FedML 33 0 0 10 Jun 2024
Fast networked data selection via distributed smoothed quantile estimation Xu Zhang Marcos M. Vasconcelos 33 0 0 04 Jun 2024
Navigating the Future of Federated Recommendation Systems with Foundation Models Zhiwei Li Guodong Long Chunxu Zhang Honglei Zhang Jing Jiang Chengqi Zhang 117 0 0 12 May 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization Zhiyuan Ning Chunlin Tian Meng Xiao Wei Fan Pengyang Wang Li Li P. Wang Yuanchun Zhou 28 7 0 10 May 2024
Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning Chunlin Tian Zhanying Shi Xinpeng Qin Li Li Chengzhong Xu FedML 23 2 0 07 May 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 48 0 0 03 May 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling Huai-an Su Jiaxiang Geng Liang Li Xiaoqi Qin Yanzhao Hou Xin Fu Miao Pan Miao Pan 40 1 0 01 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
Federated Computing -- Survey on Building Blocks, Extensions and Systems René Schwermer R. Mayer Hans-Arno Jacobsen FedML 35 1 0 03 Apr 2024
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection Jingwen Tong Zhenzhen Chen Liqun Fu Jun Zhang Zhu Han FedML 29 1 0 30 Mar 2024
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling Ashish Bastola Hao Wang Xiwen Chen Abolfazl Razi 28 0 0 26 Mar 2024
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering Md Sirajul Islam Simin Javaherian Fei Xu Xu Yuan Li Chen Nianfeng Tzeng FedML 19 8 0 07 Mar 2024
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients Xiaolu Wang Zijian Li Shi Jin Jun Zhang FedML 26 3 0 17 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 24 13 0 10 Feb 2024
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Rui Ye Wenhao Wang Jingyi Chai Dihan Li Zexi Li Yinda Xu Yaxin Du Yanfeng Wang Siheng Chen ALM FedML AIFin 11 76 0 10 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 49 2 0 07 Feb 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection Liangqi Yuan Dong-Jun Han Su Wang Devesh Upadhyay Christopher G. Brinton 41 10 0 30 Jan 2024
Gradient Coreset for Federated Learning D. Sivasubramanian Lokesh Nagalapatti Rishabh K. Iyer Ganesh Ramakrishnan FedML 34 1 0 13 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 22 3 0 05 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 17 0 0 29 Dec 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 21 1 0 27 Dec 2023