Split 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. Importance-Aware Feature Sparsification for Wireless Split Learning

    Sep 30, 2026Bumjun Kim, Yoon Huh, Wan ChoiCommunication-Efficient Distributed TrainingSplit Federated Learning

    Department of Electrical and Computer Engineering, Seoul National University (SNU), and the Institute of New Media and Communications, SNU, Seoul 08826, Korea

  2. CoeF-SFL: Preserving Collaborative Server-Client Learning with Enhanced Communication Efficiency

    Sep 28, 2026Junwoo Bae, Jin-Hyun AhnCommunication-Efficient Distributed TrainingSplit Federated Learning

    Myongji University

  3. Concurrent Split Learning Through Stable Client Clustering

    Sep 24, 2026Mohammad Kohankhaki, Valentin Rentschler, Anke SchmeinkSplit Federated LearningClustered Federated Learning

    Chair of Information Theory and Data Analytics, RWTH Aachen University, Aachen, Germany

  4. USPLIT-VQA: U-Shaped Split Learning for Visual Question Answering with Contribution-Aware Weighted Aggregation

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilVisual Question AnsweringFederated Learning Aggregation

    Transformative Innovation for Trustworthy AI and Network Security (TITANS) Lab, Computer Science, Southern Illinois University Carbondale, USA

  5. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Privacy-Preserving Language ModelsSplit Federated Learning

    Virginia Tech, Arlington, VA, USA

  6. TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning

    Aug 7, 2026Yuhan Xie, Jingrong Huang, Chen LyuAdversarial RobustnessSplit Federated Learning

    Shanghai University of Finance and Economics MoE Key Laboratory of Interdisciplinary Research of Computation and Economics Shanghai, China

  7. GQ-FSL: Green Quantized Federated Split Learning

    Jul 31, 2026Idan Roth, Lutz LampeMixed-Precision QuantizationEnergy-Efficient ML

    The University of British Columbia, Vancouver, BC, Canada

  8. BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage

    Jul 27, 2026Akarsh K. Nair, Muhammad Arifur Rahman, David Brown +1Gradient Inversion AttacksSplit Federated Learning

    Department of Computer Science Nottingham Trent University Nottingham, United Kingdom · Information and Computer Science Department SDAIA–KFUPM Joint Research Center for AI Interdisciplinary Research Center for Biosystems and Machines King Fahd University of Petroleum & Minerals Dhahran 31261, Saudi Arabia

  9. Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction

    Jun 23, 2026Wenjie Ding, Yi Sin Lin, Jiale Liu +8Edge ComputingSplit Federated Learning

    School of Computing · Newcastle University · Newcastle upon Tyne, United Kingdom

  10. QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning

    Jun 1, 2026Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang +1Reinforcement LearningDeep Q-Learning

    Department of Computer Science, Kennesaw State University, Marietta, GA, 30060 USA · Department of Computer Science, San Francisco State University, San Francisco, CA, 94132 USA · Department of Electrical and Computer Engineering, University of Houston, Houston, TX, 77204 USA

  11. Separate Aggregation of Split Network for Personalized Federated Learning

    May 26, 2026Yunseok Kang, Jaeyoung SongFederated Learning AggregationSplit Federated Learning

    Department of Electronics Engineering, Pusan National University, Republic of Korea

  12. BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation

    May 17, 2026Yuhan Xie, Chen Lyu, Jingrong HuangFederated Learning AggregationSplit Federated Learning

    Shanghai University of Finance and Economics, China · MoE Key Laboratory of Interdisciplinary Research of Computation and Economics, China.

  13. TSFLora: Token-Compressed Split Fine-Tuning for Wireless Edge Networks

    May 17, 2026Xianke Qiang, Zheng Chang, Li Wang +1Communication-Efficient Distributed TrainingEdge Computing

    School of Computer Science and Engineering, UESTC, 611731 Chengdu, China · School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, 100876, China. · Center for Intelligent Networking and Communications, UESTC, 611731 Chengdu, China.

  14. SplitFed-CL: A Split Federated Co-Learning Framework for Medical Image Segmentation with Inaccurate Labels

    May 11, 2026Zahra Hafezi Kafshgari, Hadi Hadizadeh, Parvaneh SaeediSplit Federated LearningNoisy-Label Learning

    School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

  15. HARMONY: Bridging the Personalization-Generalization Gap by Mitigating Representation Skew in Heterogeneous Split Federated Learning

    May 8, 2026Jiseok Youn, You Rim Choi, Goodsol Lee +3Meta-LearningOOD Generalization

    Department of ECE and INMC, Seoul National University, Seoul, South Korea · Graduate School of Data Science, Seoul National University, Seoul, South Korea · Department of Computer Science, University of Colorado Boulder, CO, USA

  16. MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation

    May 4, 2026Chamani Shiranthika, Hadi Hadizadeh, Parvaneh SaeediLatent Diffusion ModelsSplit Federated Learning

    School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

  17. SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

    Apr 29, 2026Yimeng Shan, Zhaorui Zhang, Sheng Di +3Communication-Efficient Distributed TrainingLLM Fine-Tuning

    Hong Kong Polytechnic University Hong Kong · Argonne National Labratory USA · University of California, Merced USA +1

  18. HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation

    Mar 16, 2026Qiyuan Chen, Xian Wu, Yi Wang +1Communication-Efficient Distributed TrainingZeroth-Order Optimization

    Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China.

  19. FlexP-SFT: A Flexible Aggregation-Free Framework for On-Device Personalized Split Federated Fine-Tuning of LLMs

    Aug 14, 2025Jiaxiang Geng, Tianjun Yuan, Pengchao Han +3Communication-Efficient Distributed TrainingLLM Fine-Tuning

    Duke Kunshan University, Suzhou, China · Guangdong University of Technology, Guangzhou, China · Jade Bird Fire (JBF), China +1

  20. How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?

    Dec 10, 2024Joohyung Lee, Jungchan Cho, Wonjun Lee +2Mechanism DesignSplit Federated Learning

    School of Computing, Gachon University, Seongnam 13120, Rep. of Korea · School of Cybersecurity, Korea University, Seoul, Rep. of Korea · Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544 USA