Federated Learning

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Period ending 2026-09-21

26 new papers

A weekly snapshot of new work published in Federated Learning.

Period ending 2026-09-14

2 new papers

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Period ending 2026-09-07

11 new papers

A weekly snapshot of new work published in Federated Learning.

437 papers

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  1. COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication

    May 11, 2026Ben Rachmut, Luise Ge, William Yeoh +2Heterogeneous Federated LearningFederated Learning

  2. FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement

    May 11, 2026Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2Federated LearningBackdoor Attacks

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

    May 11, 2026Zahra Hafezi Kafshgari, Hadi Hadizadeh, Parvaneh SaeediMedical Image SegmentationFederated Learning

  4. Provable Sparse Inversion and Token Relabel Enhanced One-shot Federated Learning with ViTs

    May 11, 2026Li Shen, Xiaolei Hao, Qinglun Li +3Federated LearningVision Transformer

  5. DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models

    May 11, 2026Haaris Mehmood, Jie Xu, Karthikeyan Saravanan +2Federated LearningDifferential Privacy

  6. Concordia: Self-Improving Synthetic Tables for Federated LLMs

    May 11, 2026Jimin Huang, Duanyu Feng, Nuo Chen +8Federated LearningLarge Language Model Adaptation

  7. Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks

    May 10, 2026Su Wang, Mung Chiang, H. Vincent PoorFederated LearningHeterogeneous Edge Devices

  8. M2^2FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

    May 10, 2026Manjil Nepal, Kimsie Phan, Tamoghna Ojha +2Heterogeneous Edge DevicesFederated Learning

  9. A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions

    May 10, 2026Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2Federated LearningHeterogeneity

  10. Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective

    May 10, 2026Akihito Taya, Yuuki Nishiyama, Kaoru SezakiFederated LearningDistributional Learning

  11. FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning

    May 9, 2026Bingnan Xiao, Yuan Gao, Bingcong Li +3Federated LearningSharpness-Aware Minimization

  12. Evaluating Federated Learning approaches for mammography under breast density heterogeneity

    May 9, 2026Gonzalo Iñaki Quintana, Franco Martin Di Maria, Laurence VancambergFederated LearningMammography

  13. MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift

    May 9, 2026Kiran Naseer, Naveed Anwer ButtBrain Tumor SegmentationFederated Learning

  14. When More Parameters Hurt: Foundation Model Priors Amplify Worst-Client Disparity Under Extreme Federated Heterogeneity

    May 9, 2026Kiran Naseer, Umar ShoaibFederated LearningFairness-Aware Learning

  15. FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference

    May 9, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Federated LearningFedavg

  16. Private Vertical Federated Inference for Time-Series

    May 8, 2026Lucas Fenaux, Larris Xie, Aditya Bang +3Federated LearningHomomorphic Encryption

  17. Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback

    May 8, 2026Seohyun Lee, Wenzhi Fang, Dong-Jun Han +2Federated LearningSelf-Play

  18. FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning

    May 8, 2026Fabian Stricker, Jose A. Peregrina, David Bermbach +1Federated LearningModel Evaluation

  19. Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs

    May 8, 2026Hanlin Cai, Kai Li, Houtianfu Wang +4Large Language Model Fine-TuningLanguage Model Evasion Attacks

  20. Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis

    May 8, 2026Ozgu Goksu, Nicolas PugeaultFederated LearningDistributional Learning

  21. On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems

    May 8, 2026Usevalad Milasheuski, Piero Baraldi, Enrico Zio +1Federated LearningPredictive Maintenance

  22. UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment

    May 8, 2026Shih-Yu Lai, Hirozumi Yamaguchi, Shang-Tse Chen +2Federated LearningHeterogeneous Edge Devices

  23. Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning

    May 8, 2026Hao Chen, Zavareh BozorgaslWireless Resource AllocationFederated Learning

  24. Modulated learning for private and distributed regression with just a single sample per client device

    May 8, 2026Praneeth Vepakomma, Amirhossein Reisizadeh, Samuel Horváth +1Federated LearningPhysical Activities

  25. Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation

    May 8, 2026Hong Chen, Pengcheng Wu, Yuanguo Lin +4Federated LearningCross-Entropy Losses

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

    May 8, 2026Jiseok Youn, You Rim Choi, Goodsol Lee +3Heterogeneous Federated LearningFederated Learning

  27. Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy

    May 7, 2026Mianyong Ding, Maximilian Knoll, Semi Harrabi +7Federated LearningLesion Segmentation

  28. FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning

    May 7, 2026Su Zhang, Junfeng Guo, Heng HuangFederated LearningPrivacy-Preserving Framework

  29. CLAD: A Clustered Label-Agnostic Federated Learning Framework for Joint Anomaly Detection and Attack Classification

    May 7, 2026Iason Ofeidis, Nikos Papadis, Randeep Bhatia +2Internet Of ThingIntrusion Detection

  30. Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration

    May 7, 2026Wentao Yu, Bo Han, Jie Yang +1Federated Graph LearningFederated Learning

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

    May 7, 2026Mohamed Lakas, Mohamed Amine FerragFederated LearningInternet Of Thing

  32. Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated LearningLow-Rank Adaptation

  33. Enabling Federated Inference via Unsupervised Consensus Embedding

    May 7, 2026Yui Hashimoto, Takayuki Nishio, Yuichi Kitagawa +1Federated LearningPrivacy-Preserving Framework

  34. A Simulated Federated Analysis of MS-Induced Brain Lesions

    May 6, 2026Evelyn Trautmann, Joël Federer-Gsponer, Markus C. Elze +1Federated LearningMultiple Sclerosis

  35. Federated Learning for Early Prediction of EV Charging Demand

    May 6, 2026Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis +2Electric VehiclesElectricity Price Forecasting

  36. Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity

    May 6, 2026Junxiang Wu, Zhiqiang Kou, Hongwei Zeng +7Federated LearningCandidate Label Distributions

  37. Knowledge-Free Correlated Agreement for Incentivizing Federated Learning

    May 6, 2026Leon Witt, Togrul Abbasli, Kentaroh Toyoda +2Federated LearningFairness-Aware Learning

  38. FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling

    May 6, 2026Guangyi Zhang, Yi Dai, Yiyun He +1Federated LearningSingle-Cell Rna Sequencing

  39. A Hierarchical Sampling Framework for bounding the Generalization Error of Federated Learning

    May 5, 2026Dario Filatrella, Ragnar Thobaben, Mikael SkoglundFederated LearningGeneralization Bounds

  40. Distributed Deep Variational Approach for Privacy-preserving Data Release

    May 4, 2026Zahir Alsulaimawi, Huaping LiuFederated LearningDistributional Learning

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

    May 4, 2026Chamani Shiranthika, Hadi Hadizadeh, Parvaneh SaeediFederated LearningMedical Image Segmentation

  42. Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning

    May 4, 2026Judith Sáinz-Pardo Díaz, Álvaro López GarcíaFederated LearningDifferential Privacy

  43. FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training

    May 4, 2026Ahmad Dabaja, Rachid El-AzouziHeterogeneous Federated LearningFederated Learning

  44. Graph Federated Unlearning for Privacy Preservation

    May 4, 2026Ruotong Ma, Wentao Yu, Qizhou Wang +2Federated Graph LearningFederated Learning

  45. Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning

    May 4, 2026Shihao Hou, Chikai Shang, Zhiheng Yang +5Federated LearningFinetuning

  46. Privacy-Preserving Federated Learning: Integrating Zero-Knowledge Proofs in Scalable Distributed Architectures

    May 4, 2026Divya GuptaFederated LearningHeterogeneous Edge Devices

  47. Heterogeneous Model Fusion for Privacy-Aware Multi-Camera Surveillance via Synthetic Domain Adaptation

    May 4, 2026Peggy Joy Lu, Wei-Yu Chen, Yao-Tsung Huang +1Domain AdaptationVideo Surveillance

  48. Personalized Federated Learning for Gradient Alignment

    May 4, 2026Dongwon Kim, Gyuejeong LeeFederated LearningPersonalization

  49. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

    May 4, 2026Yijiang Li, Emon Dey, Zilinghan Li +3Federated LearningFedavg

  50. Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery

    May 4, 2026Wenwei Zhao, Xiaowen Li, Yao Liu +1Federated LearningAdversarial Training

  51. Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection

    May 3, 2026Samhita Kuili, Mohammadreza Amini, Burak KantarciJamming AttacksFederated Learning

  52. FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

    May 1, 2026Zoe Fowler, Ghassan AlRegibFederated LearningFedavg

  53. Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration

    May 1, 2026Luru Jing, Cong Cong, Yanyuan Chen +1Federated LearningWhole-Slide Images

  54. Scaling Federated Linear Contextual Bandits via Sketching

    May 1, 2026Hantao Yang, Hong Xie, Xutong Liu +1Linear Contextual BanditsFederated Learning

  55. Federated Learning with Hypergradient-based Online Update of Aggregation Weights

    May 1, 2026Ayano Nakai-Kasai, Tadashi WadayamaFederated LearningGradient Descent

  56. Hierarchical Federated Learning for Networked AI: From Communication Saving to Architecture-Aware Design

    May 1, 2026Seyed Mohammad Azimi-Abarghouyi, Mehdi Bennis, Leandros TassiulasFederated LearningHeterogeneous Edge Devices

  57. Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning

    Apr 30, 2026Yuhua Wang, Qinnan Zhang, Xiaodong Li +6Federated LearningDifferential Privacy

  58. Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

    Apr 30, 2026Gaurang Sharma, Juha Pajula, Aada Illikainen +4Federated LearningHomomorphic Encryption

  59. FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning

    Apr 30, 2026Mahad Ali, Laura J. BrattainHeterogeneous Federated LearningFederated Learning

  60. AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

    Apr 30, 2026Zehui Tang, Yuchen Liu, Feihu HuangFederated LearningByzantine Attacks