Client Selection in Federated Learning

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5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Client and Training Data Selection for Computationally Efficient Synchronized Federated Learning

    Sep 30, 2026Muzaffer Citir, Hiroki Nishikawa, Sangyoung ParkClient Selection in Federated LearningNon-IID Federated Learning

    Smart Mobility Systems, Technical University of Berlin, Germany · Graduate School of Information Science and Technology, The University of Osaka, Japan

  2. Agentic Federated Learning: Rule-Based Client and Server Agents for Adaptive Training

    Sep 28, 2026Deepthy K. Bhaskar, VP Binu, B MinimolFederated Learning AggregationClient Selection in Federated Learning

    Department of Computer Engineering, Model Engineering College, APJ Abdul Kalam Technological University, Thiruvananthapuram 695016, Kerala, India. · Department of Biomedical Engineering, Model Engineering College, APJ Abdul Kalam Technological University, Thiruvananthapuram 695016, Kerala, India.

  3. Adaptive Determinantal Client Scheduling in Federated Learning

    Sep 20, 2026Wen Xu, Ben Liang, Gary Boudreau +1Client Selection in Federated LearningFederated Learning

    University of Toronto, Canada · Ericsson, Canada

  4. Adaptive Bayesian Partner Selection for Federated Clinical Centers

    Sep 15, 2026Navid Seidi, Satyaki Roy, Sajal K. DasHealthcareCommunication-Efficient Distributed Training

    Department of Computer Science Missouri University of Science and Technology Rolla, MO, USA · Department of Mathematical Sciences University of Alabama in Huntsville Huntsville, AL, USA

  5. Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning

    Sep 14, 2026Yuxuan Sun, Yuxuan Bai, Tan Chen +2Client Selection in Federated LearningFederated Continual Learning

    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · Department of Electronic Engineering, Tsinghua University, Beijing 100084, China, and the Beijing National Research Center for Information Science and Technology

  6. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenAlgorithmic FairnessClient Selection in Federated Learning

    Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

  7. Robust Federated Learning Under Real-World Client Churn

    Jul 8, 2026Dhruv Garg, Neha Lakhani, Debopam Sanyal +3Federated Learning AggregationCommunication-Efficient Distributed Training

    Georgia Tech USA · Cisco Research USA

  8. SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System

    Jun 16, 2026Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1Hierarchical Federated LearningMechanism Design

    Department of Software and IT Engineering, École de Technologie Supérieure (ÉTS), Montréal, QC H3C 1K3, Canada · Department of Economics, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran · Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada

  9. EvoCSFL: Surrogate-Assisted Evolutionary Client Selection for Efficient and Robust Federated Learning

    Jun 5, 2026Lin Qiang, Sun Xiaoyan, Hu Yao +1Client Selection in Federated LearningFederated Learning

    1Jiangnan University · 2The Hong Kong Polytechnic University

  10. Personalized Federated Learning by Energy-Efficient UAV Communications

    May 24, 2026Shiqian Guo, Jianqing Liu, Beatriz LorenzoEnergy-Efficient MLClient Selection in Federated Learning

    Department of Computer Science, North Carolina State University, Raleigh, NC 27606 USA · University of Massachusetts, Amherst, MA 01003 USA

  11. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikCommunication-Efficient Distributed TrainingClient Selection in Federated Learning

    Computer Engineering Istanbul Technical University Istanbul, Turkey · Department of Computer Technologies Istanbul University-Cerrahpaşa Istanbul, Turkey

  12. Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette

    May 22, 2026Koffka KhanClient Selection in Federated LearningFederated Learning

    Department of Computing and Information Technology The University of the West Indies, St. Augustine, Trinidad and Tobago

  13. Choose Wisely and Privately: Proactive Client Selection for Fair and Efficient Federated Learning

    May 20, 2026Adda Akram Bendoukha, Heber Hwang Arcolezi, Nesrine Kaaniche +1Client Selection in Federated LearningNon-IID Federated Learning

    Samovar, T´el´ecom SudParis, Institut Polytechnique de Paris, France · ´ETS Montr´eal · CEA-LIST

  14. Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers

    May 14, 2026Andras Ferenczi, Sutapa Samanta, Dagen Wang +1Federated Learning AggregationByzantine-Robust Federated Learning

    American Express Co · American Express Co. · Columbia University

  15. Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention

    May 12, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Client Selection in Federated LearningFederated Learning

    Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

  16. VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems

    May 7, 2026Mohamed Lakas, Mohamed Amine FerragIoT Intrusion DetectionClient Selection in Federated Learning

    College of Information Technology, United Arab Emirates University, UAE

  17. Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

    Apr 29, 2026Gota MorishitaInverse Probability WeightingFederated Learning Aggregation

    Centre for Brain, Mind and Markets University of Melbourne Parkville, Victoria, Australia