Federated Learning

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Period ending 2026-09-21

29 new papers

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Period ending 2026-09-14

11 new papers

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Period ending 2026-09-07

13 new papers

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619 papers

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  1. FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks

    Jun 26, 2026Emmanuel Rassou, Tomas GonzalezFederated LearningByzantine Attacks

  2. Quantization in Federated Learning: Methods, Challenges and Future Directions

    Jun 25, 2026Farwa Ikram, Dipanwita Thakur, Antonella Guzzo +1Federated LearningQuantization

  3. FedReLa: Imbalanced Federated Learning via Re-Labeling

    Jun 24, 2026Guangzheng Hu, Patricia Menéndez, Feng Liu +3Federated LearningClass Imbalance

  4. Federated Hash Projected Latent Factor Learning

    Jun 24, 2026Jialan HeFederated LearningAI Privacy Risks and Protection

  5. Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks

    Jun 24, 2026Kavindu Herath, Joshua C. Zhao, Saurabh BagchiBackdoor AttacksFederated Learning

  6. Learning Subset-Shared Invariances for Domain Generalization with Mixture-of-Experts

    Jun 24, 2026Tien-Hung Nguyen, Tien-Dat Tran, M. -Duong Nguyen +1Multimodal Domain GeneralizationDomain Generalization

  7. TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems

    Jun 24, 2026Erdenebileg Batbaatar, Young YoonFederated LearningPrivacy-Preserving Framework

  8. MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching

    Jun 23, 2026Kamil Kwarciak, Marek Wodzinski3D Latent Diffusion ModelGenerative Models

  9. FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters

    Jun 23, 2026Feihong Nan, Zhengyi Zhong, Pan Wang +4Federated LearningPrivacy-Preserving Framework

  10. Development and Design of FLKit: A Structured Onboarding Toolkit for Federated Learning in Health and Life Sciences

    Jun 22, 2026Ashkan Pirmani, Ilse Vermeulen, Goran Vinterhalter +7Federated LearningPrivacy-Preserving Framework

  11. FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals

    Jun 22, 2026Chengjun Yu, Di Wu, Yi He +1Federated LearningPrivacy-Preserving Framework

  12. Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning

    Jun 22, 2026Nuocheng Yang, Yechen He, Sihua Wang +3Federated LearningLow-Rank Adaptation

  13. FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs

    Jun 22, 2026Wenlong Cheng, Yuan Gan, Yunqiu Xu +1Federated LearningWatermarks

  14. Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design

    Jun 22, 2026Mingyuan Fan, Cen ChenFederated LearningPrivacy-Preserving Framework

  15. Subspace-Constrained Federated Learning with Low-Rank Adaptation

    Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated LearningLow-Rank Adaptation

  16. SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors

    Jun 21, 2026Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab +2Backdoor AttacksFederated Learning

  17. Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models

    Jun 21, 2026Attia Qammar, Qazi Haseeb Yousaf, Ali Azam +3Carbon EmissionsFederated Learning

  18. A Survey on Federated Causal Discovery and Inference

    Jun 21, 2026Xianjie Guo, Yuwei Wang, Guodu Xiang +4Causal Foundation ModelsFederated Learning

  19. Fed-CausalDiff: Decoupled Synchronization for Federated Do-Simulation and Policy Evaluation

    Jun 21, 2026Pengfei Li, Mohammad KhalilFederated LearningDiffusion Policies

  20. Federated learning with heavy-tailed gradient noise and communication noise: a variance-reduction based algorithm

    Jun 21, 2026Shengchao Zhao, Yongchao LiuFederated LearningFedavg

  21. FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

    Jun 20, 2026Kaijie Chen, Alex Johnson, Maria Garcia +2Federated LearningRegularization Techniques

  22. Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Internet Of ThingFederated Reinforcement Learning

  23. Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related Depression and Anxiety Among University Students Using Structured Data

    Jun 19, 2026Arsham Azam, Rasikh Ali, Tayyaba Farhat +1Mental HealthExplainable Artificial Intelligence

  24. Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deception

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Internet Of ThingFederated Reinforcement Learning

  25. Communication Heterogeneity and Collective Consensus in Neural Cellular Automata

    Jun 19, 2026Nishit SinghNeural Cellular AutomataCollective Behaviors

  26. Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination

    Jun 18, 2026Esmaeil Seraj, Rohan Paleja, Luis Pimentel +7Multi-Agent Reinforcement LearningMulti-Robot Systems

  27. GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI

    Jun 18, 2026Julia Alekseenko, Pietro Mascagni, AI4SafeChole Consortium +1Federated LearningGradient Surgery

  28. HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization

    Jun 18, 2026Zhentao Tan, Wei Chen, Jingyi Shen +4Efficient Long-Context InferenceHeterogeneity

  29. Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity

    Jun 18, 2026Xu Zhang, Zhengang Huang, Yunzhi Wu +6Time SeriesNeural Scaling Laws

  30. Variational Consensus Monte Carlo for Bayesian Mixture

    Jun 17, 2026Julie Fendler, Francesca L. Crowe, Tom Marshall +2Mixture ModelsFederated Learning

  31. A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development

    Jun 17, 2026Samuel Stricker, Claus Wirnsperger, Alessandro Butté +4Bayesian OptimizationPareto Frontier

  32. Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study

    Jun 16, 2026Komal Thareja, Hamza Safri, Rajiv Mayani +2Scientific WorkflowsWorkflow Automation and Optimization

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

    Jun 16, 2026Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1Federated LearningFairness-Aware Learning

  34. C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift

    Jun 16, 2026Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini +2Federated LearningAutonomous Driving Perception

  35. TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization

    Jun 16, 2026William Kalikman, Ivo Petrov, Dimitar I. Dimitrov +1Federated LearningTransformer Architectures

  36. Handling Feature Heterogeneity with Learnable Graph Patches

    Jun 16, 2026Yifei Sun, Yang Yang, Xiao Feng +4Graph Foundation ModelGraph Representation Learning

  37. Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    Jun 15, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Federated LearningExplainable Artificial Intelligence

  38. Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

    Jun 15, 2026Xiaolin Li, Ning Wang, Ninghui Li +1Differential PrivacyFederated Learning

  39. Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages

    Jun 15, 2026Alvaro Javier Vargas Guerrero, Xinguang Wang, Quang Manh Doan +1Federated LearningModel Weights

  40. Distribution Alignment for One-Shot Federated Learning via Optimal Transport

    Jun 15, 2026Daniele Berardini, Vito Paolo Pastore, Vittorio MurinoFederated LearningFew-Shot Learning

  41. pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning

    Jun 15, 2026Zhuodong Liu, Xiangyu Li, Zhihao ZhangFederated LearningFedavg

  42. Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs

    Jun 15, 2026Md Abdullah Al Mamun, Ngoc Phu Doan, Pedram Zaree +2Language Model Evasion AttacksDifferential Privacy

  43. PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Low-Rank AdaptationLow-Rank Factorization

  44. Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains

    Jun 14, 2026Jinlong YangHeterogeneityReducible Uncertainty

  45. Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts

    Jun 14, 2026Yijun Lu, Zihan Fang, Pengpeng Qiao +6Federated LearningMixture-of-Experts Models

  46. Contextual Bandits for Maximizing Stimulated Word-of-Mouth Rewards

    Jun 13, 2026Ahmed Sayeed Faruk, Elena ZhelevaSocial MediaTop-K

  47. Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    Jun 12, 2026Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1Post-Quantum CryptographyFederated Learning

  48. Federated Learning for Feature Generalization with Convex Constraints

    Jun 12, 2026Dongwon Kim, Donghee Kim, Sung Kuk Shyn +1Federated LearningFedavg

  49. MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning

    Jun 12, 2026Xiaobo Zhao, Daniel E. LucaniFederated LearningWireless Resource Allocation

  50. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Federated LearningPrivacy-Preserving Framework

  51. Towards Personalized Federated Learning for Dysarthric Speech Recognition

    Jun 11, 2026Tao Zhong, Mengzhe Geng, Jiajun Deng +2Dysarthric SpeechFederated Learning

  52. A solvable model for unsupervised federated learning

    Jun 11, 2026Giovanni Catania, Aurélien Decelle, Gianluca Manzan +2Federated LearningDistributional Learning

  53. Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning

    Jun 10, 2026Weijie Chen, Alan B. McMillanFederated LearningFederated Averaging

  54. Adapting Prithvi-EO for Fallow Detection for Food-Water Nexus: ViT-Adapter Necks and Parameter-Efficient Backbone tuning of Geospatial Foundation Model

    Jun 10, 2026Sk Muhammad Asif, Orhun AydinGeospatial Foundation ModelsFeature Pyramid Networks

  55. Accurate and Resource-Efficient Federated Continual Learning

    Jun 9, 2026Jebacyril Arockiaraj, Dhruv Parikh, Jayashree Adivarahan +2Federated LearningEfficient Continual Learning

  56. Range Penalization: Theoretical Insights with Applications in Federated Learning

    Jun 9, 2026Yiyuan She, Zhaojun Hu, Yifan SunFederated LearningRegularization Techniques

  57. Secure Aggregation with Top-K Sparsification in Decentralized Federated Learning

    Jun 9, 2026Hengxuan Tang, Jinbao Zhu, Xiaohu TangFederated LearningSparsity

  58. Asynchronous Decentralized Federated Learning over Lossy Wireless Links via Reception- and Age-Aware Aggregation

    Jun 9, 2026Chanuka A. S. Hewa Kaluannakkage, Rajkumar BuyyaFederated LearningHeterogeneous Edge Devices

  59. From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning

    Jun 9, 2026Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4Federated LearningHeterogeneity

  60. Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data

    Jun 9, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Federated LearningEfficient Continual Learning