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. Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning

    Jun 8, 2026Haengbok Chung, Jae Sung LeeFederated LearningClass Imbalance

  2. FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching

    Jun 8, 2026Haoran Zhang, Cainã Figueiredo Pereira, Marie Siew +3Federated LearningGradient Staleness

  3. Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips

    Jun 8, 2026Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2Federated LearningBackdoor Attacks

  4. Heterophily-Aware Adaptive Knowledge Distillation for Hypergraph Neural Networks

    Jun 8, 2026Joohee Cho, David Yoon Suk Kang, Yunyong KoHypergraphsKnowledge Distillation

  5. The Capacity of Information-Theoretic Secure Aggregation in Federated Learning

    Jun 5, 2026Lanxin Yi, Jinbao Zhu, Kai Wan +1Federated LearningDiffie-Hellman

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

    Jun 5, 2026Lin Qiang, Sun Xiaoyan, Hu Yao +1Federated LearningSurrogate Models

  7. Federated Foundation Models over Vehicular Networks

    Jun 5, 2026Kasra Borazjani, Fardis Nadimi, Payam Abdisarabshali +5Federated LearningMulti--Task Learning

  8. Towards Serverless Semi-Decentralized Federated Learning with Heterogeneous Optimizers

    Jun 4, 2026Su Wang, Mung Chiang, H. Vincent PoorHeterogeneous Federated LearningFederated Learning

  9. Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems

    Jun 4, 2026Md. Arifur Rahman, B. M. Taslimul Haque, Md. Iqbal Hossan +1Federated LearningThreat Models

  10. Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning

    Jun 3, 2026Xiaohui Yin, Jun Jin, Shane J. Sacco +2Transfer LearningHeterogeneity

  11. A Pathology Foundation Model for Gastric Cancer with Real-World Validation

    Jun 3, 2026Ling Liang, Jiabo Ma, Zhengyu Zhang +25Colorectal CancerPathology Foundation Models

  12. Near-Optimal Decentralized Stochastic Convex Optimization over Networks

    Jun 3, 2026Nitai Kluger, Amit Attia, Tomer KorenStochastic Smooth Convex OptimizationStochastic Approximation

  13. TITAN-FedAnil+: Trust-Based Adaptive Blockchain Federated Learning for Resource-Constrained Intelligent Enterprises

    Jun 3, 2026Muhammad Hadi, Muhammad Jahangir, Talha Shafique +1Federated LearningHeterogeneous Edge Devices

  14. Federated Learning for Multi-Center Sepsis Early Prediction with Privacy-Preserving

    Jun 3, 2026Xixi Tian, Di Wu, Xiang Liu +4SepsisFederated Learning

  15. FlashbackCL: Mitigating Temporal Forgetting in Federated Learning

    Jun 2, 2026Mubarak A. Ojewale, Adriana E. Chis, Jorge M. Cortes-Mendoza +2Federated LearningEfficient Continual Learning

  16. FederatedSkill: Federated Learning for Agentic Skill Evolution

    Jun 2, 2026Jingbo Yang, Guanyu Yao, Yang Zhang +3Skill EvolutionSelf-Evolving Agents

  17. FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data

    Jun 2, 2026Pengyu Chen, Shaowei Li, Kai Wang +4Federated Reinforcement LearningGroup Relative Policy Optimization

  18. BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation

    Jun 2, 2026Xi Zhou, Famin Wu, Mingming Li +4Multimodal RecommendationRecommender Systems

  19. Hierarchical Federated Learning with Dynamic Clustering and Adaptive Regularization for Robust Infrastructure Inspection

    Jun 2, 2026Yuhu Feng, Keisuke Maeda, Takahiro Ogawa +1Federated LearningStructural Health Monitoring

  20. IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning

    Jun 1, 2026Farhin Farhad Riya, Olivera Kotevska, Jinyuan Stella SunFederated LearningDifferential Privacy

  21. Closing the Alignment-Maturity Gap in Federated Prototype Learning

    Jun 1, 2026Mario Casado-Diez, Alejandro Dopico-Castro, Verónica Bolón-Canedo +1Heterogeneous Federated LearningFederated Learning

  22. Boosting Multimodal Federated Learning via Chained Modality Optimization

    Jun 1, 2026Zixin Zhang, Fan Qi, Shuai Li +2FedavgMultimodal Learning

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

    Jun 1, 2026Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang +1Federated LearningDistributional Learning

  24. FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment

    Jun 1, 2026Nazmus Shakib Shadin, Aaron Cummings, Xinyue Zhang +1Heterogeneous Federated LearningFederated Learning

  25. GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning

    May 31, 2026Daniel M. Jimenez-Gutierrez, Albenzio Cirillo, Raffaele Nicolussi +2Federated LearningChatbots

  26. LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems

    May 31, 2026Yihong Huang, Chen Chu, Fei Chen +3Feature SelectionRecommender Systems

  27. Profiling Privacy Preservation Against Gradient Inversion Attacks in Tabular Federated Learning

    May 31, 2026Ivo Osterberg Nilsson, Maximilian Birr Engvall, Viktor Valadi +1Federated LearningPrivacy-Preserving Framework

  28. Silent Failures in Federated Personalization of Foundation Models

    May 31, 2026YongKyung Oh, Alex BuiFederated LearningPersonalization

  29. Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler

    May 30, 2026T. Ansah-Narh, Y. Asare Afrane, J. Bremang TandohMalariaBayesian

  30. Multi-Agent Conformal Prediction with Personalized Statistical Validity

    May 30, 2026Martin V. Vejling, Christophe A. N. Biscio, Adrien Mazoyer +2Conformal PredictionHeterogeneity

  31. HASA: Subnet Allocation for Compute-Constrained Model-Heterogeneous Federated Learning

    May 30, 2026Amir Hossein Shahdadian, Ahmed M. Abdelmoniem, Mahdi Taheri +2Heterogeneous Federated LearningFederated Learning

  32. Canonicalized Stable-List Replay for Private Federated Continual Learning over Language-Model Embeddings

    May 29, 2026Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Anuj SharmaFederated LearningEfficient Continual Learning

  33. Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling

    May 29, 2026Dmitrii Feoktistov, Timofey Belinsky, Andrey Veprikov +2SignHeterogeneity

  34. Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks

    May 29, 2026Kangmin Kim, Jaeyoung SongBandwidth ConstraintsFederated Learning

  35. XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT

    May 28, 2026Ambreen Aslam, Maaz Hassan, Bibi Zahra +1Intrusion DetectionInternet Of Thing

  36. A Unified Framework for Gradient Aggregation in Multi-Objective Optimization

    May 28, 2026Zeou Hu, Kelvin Ho, Yaoliang YuMulti-Objective OptimizationConvex Sets

  37. Fairness-Aware Federated Learning with Trajectory Shapley Value

    May 28, 2026Daniel Kuznetsov, Ziqi WangFederated LearningFairness-Aware Learning

  38. Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion

    May 28, 2026Anay Mehrotra, Phuc Tran, Van H. Vu +1Heterogeneous Treatment EffectsTensor Completion

  39. Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels

    May 28, 2026Anthony Ayli, Khalil Harris, Jihad Fahs +1Homomorphic EncryptionFederated Learning

  40. Q-ANCHOR: Federated Quantum Learning with ZNE-guided Correction

    May 28, 2026Hoang M. Ngo, Quan Nguyen, Wanli Xing +1Federated LearningFederated Averaging

  41. FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation

    May 28, 2026Zehao Wang, Guanglei Yang, Yihan Zeng +4Low-Rank AdaptationFederated Learning

  42. Adopt ≠\neq Adapt: Longitudinal Analyses of LLM Conversations in the Wild

    May 27, 2026Rebecca M. M. Hicke, Kiran TomlinsonMulti-Turn Large Language Model ConversationsChatbots

  43. FedQHD: Closed-Form Function-Space Federated Reinforcement Learning

    May 27, 2026Yuchen Hou, Yongshan Chen, Zhuowen Zou +4Federated Reinforcement LearningFederated Averaging

  44. FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models

    May 27, 2026Xucong Wang, Pengkun Wang, Zhe Zhao +3Vision-Language Model AdaptationMulti-Label Classification

  45. Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee

    May 27, 2026Shiyuan Zuo, Jiashuo Li, Rongfei Fan +2Federated LearningDimensionality Reduction

  46. Refining Multidimensional Video Reward Models via Disentangled Influence Functions

    May 27, 2026Muyao Wang, Zeke Xie, Hideki NakayamaText-To-Video ModelsFine-Grained Video Understanding

  47. A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG

    May 27, 2026Junjie Mu, Qiongxiu LiFederated Learning

  48. Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning

    May 27, 2026Yuting Ma, Lechao Cheng, Xiaohua XuFederated LearningVision-Language Model Adaptation

  49. FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation

    May 27, 2026Jun Bai, Ziyang Song, Yue LiElectronic Health RecordsSynthetic Time Series

  50. Pattern Recognition Tasks with Personalized Federated Learning

    May 27, 2026Md. Arifur Rahman, Isha Das, Mushfiqur Rahman Abir +4Federated LearningPrivacy-Preserving Framework

  51. A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices

    May 26, 2026Chaimae Jallouli, Karim Boubouh, Robert BasmadjianFederated LearningCentral Processing Units

  52. Semiparametrically Efficient Inference for Kernel Measures of Noise Heterogeneity

    May 26, 2026Jakub Wornbard, Zikai Shen, Dimitri Meunier +1HeteroskedasticitySemiparametric Framework

  53. Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation

    May 26, 2026Khayyam Nosrati, Martin Uray, Saverio Messineo +2Time-Series Anomaly DetectionFederated Learning

  54. HEAL: Resilient and Self-* Hub-based Learning

    May 26, 2026Mohamed Amine Legheraba, Stefan Galkiewicz, Maria Gradinariu Potop-Butucaru +1Federated LearningDecentralization

  55. Separate Aggregation of Split Network for Personalized Federated Learning

    May 26, 2026Yunseok Kang, Jaeyoung SongHeterogeneous Federated LearningFederated Learning

  56. Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks

    May 25, 2026Zhishuai Guo, Wenhan Wu, Chen Chen +3Federated Graph LearningGraph Neural Networks

  57. Personalized Federated Learning by Energy-Efficient UAV Communications

    May 24, 2026Shiqian Guo, Jianqing Liu, Beatriz LorenzoFederated LearningWireless Resource Allocation

  58. On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach

    May 24, 2026Jiahui Bai, Hai Dong, A. K. QinHeterogeneous Federated LearningAsynchronous Execution

  59. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikFederated LearningHeterogeneous Edge Devices

  60. Rethinking Federated Unlearning via the Lens of Memorization

    May 23, 2026Jiaheng Wei, Yanjun Zhang, He Zhang +5Federated LearningPrivacy-Preserving Framework