Federated Learning

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Period ending 2026-09-21

29 new papers

A weekly snapshot of new work published in Federated Learning.

Period ending 2026-09-14

11 new papers

A weekly snapshot of new work published in Federated Learning.

Period ending 2026-09-07

13 new papers

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619 papers

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

    May 4, 2026Zahir Alsulaimawi, Huaping LiuFederated LearningDistributional Learning

  2. 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

  3. Federated Reinforcement Learning for Efficient Mobile Crowdsensing under Incomplete Information

    May 4, 2026Sumedh J. Dongare, Patrick Weber, Andrea Ortiz +3Federated Reinforcement Learning

  4. 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

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

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

  6. Graph Federated Unlearning for Privacy Preservation

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

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

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

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

    May 4, 2026Divya GuptaFederated LearningHeterogeneous Edge Devices

  9. 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

  10. Experience Constrained Hierarchical Federated Reinforcement Learning for Large-scale UAV Teams in Hazardous Environments

    May 4, 2026Qinwei Huang, Rui Zuo, Simon Khan +1Federated Reinforcement LearningHierarchical Reinforcement Learning

  11. Personalized Federated Learning for Gradient Alignment

    May 4, 2026Dongwon Kim, Gyuejeong LeeFederated LearningPersonalization

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

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

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

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

  14. Koopman Representations for Early Outbreak Warning and Minimal Counterfactual Intervention in Multi-Agent Epidemic Simulations

    May 3, 2026Florin LeonEpidemic ForecastingEarly Warning

  15. 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

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

    May 1, 2026Zoe Fowler, Ghassan AlRegibFederated LearningFedavg

  17. 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

  18. Scaling Federated Linear Contextual Bandits via Sketching

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

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

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

  20. 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

  21. FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning

    Apr 30, 2026Zhiqiang Kou, Junxiang Wu, Wenke Huang +8Heterogeneous Federated LearningMulti-Label Classification

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

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

  23. 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

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

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

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

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

  26. Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution

    Apr 29, 2026T. Ansah-Narh, G. Y. Afrifa, J. B. Tandoh +6Air PollutionEnsemble

  27. PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning

    Apr 29, 2026Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won +1Federated Reinforcement LearningAutonomous Driving

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

    Apr 29, 2026Gota MorishitaFederated LearningFairness-Aware Learning

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

    Apr 29, 2026Yimeng Shan, Zhaorui Zhang, Sheng Di +3Federated LearningLarge Language Model Fine-Tuning

  30. Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation

    Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Multimodal Domain GeneralizationFedavg

  31. Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks

    Apr 29, 2026Beomchul Park, Minsu Koh, Heejo Kong +1Conventional Physics-Informed Neural NetworksPartial Differential Equation Benchmarks

  32. Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

    Apr 28, 2026Emre Ardıç, Yakup GençFederated LearningSupport Vector Machines

  33. Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

    Apr 28, 2026Teetat Pipattaratonchai, Aueaphum AueawatthanaphisutChemical Process SystemsFederated Learning

  34. Correcting Performance Estimation Bias in Imbalanced Classification with Minority Subconcepts

    Apr 28, 2026Taylor Maxson, Roberto Corizzo, Yaning Wu +2Extreme Class ImbalanceHeterogeneity

  35. Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification

    Apr 28, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6Tomato DiseasesFederated Learning

  36. Subspace Optimization for Efficient Federated Learning under Heterogeneous Data

    Apr 28, 2026Shuchen Zhu, Zhengyang Huang, Yuqi Xu +1Heterogeneous Federated LearningFederated Learning

  37. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated LearningLarge Language Model Quantization

  38. When To Adapt? Adapting the Model or Data in Federated Medical Imaging

    Apr 27, 2026Chamani Shiranthika, Parvaneh SaeediHeterogeneityMedical Imaging

  39. UVTran: Accurate Hole-Filling Parameterization with Transformers

    Apr 27, 2026JunFeng ZhangB-SplineTransformer Architectures

  40. Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

    Apr 27, 2026Huaicheng Li, Junhui Zhao, Haoyu Quan +1Federated LearningLow-Rank Adaptation

  41. FedSLoP: Memory-Efficient Federated Learning with Low-Rank Gradient Projection

    Apr 27, 2026Yutong He, Zhengyang Huang, Jiahe Geng +1Federated LearningFedavg

  42. The Collapse of Heterogeneity in Silicon Philosophers

    Apr 26, 2026Yuanming Shi, Andreas HauptPhilosophyArtificial Intelligence Alignment

  43. ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms

    Apr 25, 2026Jennifer Kleiman, Yizhu Gao, Xin Xia +4Abstract ArgumentationClassrooms

  44. Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

    Apr 25, 2026Prajwal Panth, Nishant NigamFederated LearningFraud Detection

  45. Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy

    Apr 25, 2026Emre Ardıç, Yakup GençFederated LearningDifferential Privacy

  46. A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning

    Apr 25, 2026Daan Rosendal, Ana OprescuFederated LearningFairness-Aware Learning

  47. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated LearningEntropy-Regularized Equilibrium Selection

  48. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet

    Apr 24, 2026Thibault Pautrel, Florent Bouchard, Ammar Mian +1Federated LearningFedavg

  49. From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphology

    Apr 24, 2026Yuan Wang, Shengao Yi, Xiaojiang Li +4Urban EnvironmentsSpatial Representation

  50. Conformalized Super Learner

    Apr 24, 2026Zhanli Wu, Fabrizio Leisen, Miguel-Angel Luque-Fernandez +1Conformal PredictionConformal Inference

  51. Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

    Apr 23, 2026Amine BarrakFederated LearningShard

  52. Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach

    Apr 23, 2026Guilin Deng, Silong Chen, Yuchuan Luo +6Membership Inference AttacksFederated Learning

  53. FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

    Apr 22, 2026Sina Gholami, Abdulmoneam Ali, Tania Haghighi +2Federated LearningNoisy Labels

  54. Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

    Apr 22, 2026Jie Xu, Haaris Mehmood, Rogier Van Dalen +2Federated LearningDifferential Privacy

  55. Heterogeneous Layered Structures Can Modulate Human Softness Perception

    Apr 22, 2026Yuno Higuchi, Yosuke Iwashita, Yuji Ohgi +1Haptic FeedbackPerceptual Understanding

  56. Federated Learning over Blockchain-Enabled Cloud Infrastructure

    Apr 21, 2026Saloni Garg, Amit Sagtani, Kamal Kant HiranFederated LearningCloud

  57. Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints

    Apr 21, 2026Konstantinos Ziliaskopoulos, Alexander VinelFederated LearningHeterogeneity

  58. Behavioral Transfer in AI Agents: Evidence and Privacy Implications

    Apr 21, 2026Shilei Luo, Zhiqi Zhang, Hengchen Dai +1Artificial Intelligence AgentsSocial Dynamics

  59. FB-NLL: A Feature-Based Approach to Tackle Noisy Labels in Personalized Federated Learning

    Apr 21, 2026Abdulmoneam Ali, Ahmed ArafaFederated LearningNoisy Labels

  60. Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics

    Apr 21, 2026Yuhan Hu, Xiaolei FangHeterogeneous Federated LearningPredictive Maintenance