Federated Learning

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52 papers in the last 28 days · 0.8% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

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HeterogeneityFedavgHeterogeneous Federated LearningFederated Reinforcement 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

A weekly snapshot of new work published in Federated Learning.

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. Multimodal Federated Learning under Dual-Axis Modality Missingness

    Aug 10, 2026Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin +5Federated LearningMissing Modalities

  2. Label Granularity Skew in Federated Learning with Hierarchical Image Classification

    Aug 10, 2026Jaeheon Kim, Hokeun Kim, Bong Jun ChoiHeterogeneous Federated LearningFederated Learning

  3. FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimFederated LearningFedavg

  4. Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes

    Aug 10, 2026Jae Ho Chang, Arnab Auddy, Subhadeep PaulFederated LearningVariational Inference

  5. Federated Attention Autoencoders with a Stochastic Aggregation Scheme for Anomaly Detection

    Aug 9, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Reconstruction-Based Anomaly DetectionFederated Learning

  6. Robust Reputation-Driven Crowdsourced Federated Learning

    Aug 9, 2026Mouhamed Amine Bouchiha, Gregory BlancFederated LearningModel-Agnostic Defense

  7. Out-of-Distribution Federated Distillation with Domain-Aware Proxy

    Aug 9, 2026Jiahao Xiao, Jiangming LiuFederated LearningOut-Of-Distribution

  8. Sheaf-Based Federated Representation Learning

    Aug 8, 2026Gabriele D'Acunto, Enrico Grimaldi, Valeria Avino +4Federated LearningRepresentation Learning

  9. EFFEKT: Efficient Federated Knowledge Transfer to Foundation Models

    Aug 8, 2026Matteo Caligiuri, Francesco Barbato, Pietro Zanuttigh +1Federated LearningWireless Foundation Models

  10. Hierarchical Multi-Task Federated Learning in VANETs

    Aug 8, 2026M. Saeid HaghighiFard, Sinem ColeriFederated LearningV2X

  11. FedDOSE: Federated Learning Framework Decomposing Site Effects for Modeling Brain Dynamic Functional Connectivity

    Aug 7, 2026Deepank Girish, Yi Hao Chan, Yubin Zheng +2Functional NetworksHuman Brain Networks

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

    Aug 7, 2026Yuhan Xie, Jingrong Huang, Chen LyuFederated LearningData Poisoning

  13. Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning

    Aug 7, 2026Alireza Moayedikia, Alicia Troncoso LoraFederated LearningFinite-Sample Coverage Guarantees

  14. FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

    Aug 7, 2026Majid Kundroo, Tinku Singh, Taehong KimFederated LearningWireless Networks

  15. FedVAR: Prototype-Aligned Federated Framework for Video Anomaly Recognition

    Aug 7, 2026Ghani Haider, Majid Kundroo, Boyun Eom +3Video Anomaly UnderstandingFederated Learning

  16. Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning

    Aug 6, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated LearningByzantine Attacks

  17. Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization

    Aug 6, 2026Grigory MalinovskyFederated LearningDistributed Optimization

  18. FedTransKD-IDS: Robust Federated Transfer Learning with Knowledge Distillation for Intrusion Detection in IoT

    Aug 6, 2026Mohammad Hosssein Gholamrezazadeh, Ahmadreza MontazerolghaemAhmadreza MontazerolghaemFederated LearningInternet Of Thing

  19. DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting

    Aug 5, 2026Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1Federated LearningFedavg

  20. On the Effectiveness of Adaptation Strategies for VLM-Based Federated Learning in Remote Sensing

    Aug 5, 2026Simon Lösche, Barış Büyüktaş, Mathis Adler +3Federated LearningVision-Language Model Adaptation

  21. Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

    Aug 5, 2026Mihailo Ilić, Miloš Savić, Vladimir Kurbalija +3Federated LearningReconstruction-Based Anomaly Detection

  22. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Intrusion DetectionFederated Learning

  23. FraQ: Efficient Coordinate-Space Recompression for Federated Low-Rank Adaptation

    Aug 4, 2026Shenghui Li, Thiemo VoigtLow-Rank AdaptationFederated Learning

  24. FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare

    Aug 4, 2026Rojalini Tripathy, Padmalochan Bera, Shreya Ghosh +1Federated LearningFedavg

  25. FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations

    Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Federated LearningSatellite

  26. AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksHeterogeneous Federated Learning

  27. Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity

    Aug 4, 2026Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2Federated LearningPrivacy-Preserving Framework

  28. Assessing the Impacts of Imperfect Datasets on Client Selections in Federated Learning

    Aug 3, 2026Yuan-Heng Tsai, Li-Hsing Yen, Yan-Wei ChenFederated Learning

  29. CRIP: Channel Level Representation Injection for Personalized One-Shot Federated Learning

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1Federated LearningHeterogeneity

  30. Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated Learning

    Aug 3, 2026Seongyoon Kim, Boryeong Cho, Jihwan Oh +2Federated LearningReward Modeling

  31. MineGrad: Gradient Inversion Attacks on LoRA Fine-Tuning

    Aug 2, 2026Hasin Us Sami, Swapneel Sen, Basak GulerHarmful Fine-TuningFederated Learning

  32. Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization

    Aug 2, 2026Furkan Bagci, Busra Tegin, Mohammad Kazemi +1Federated LearningHeterogeneous Edge Devices

  33. Reputation-driven Cooperation in Lattice-based Decentralized Federated Learning through Evolutionary Game Theory

    Aug 2, 2026Phuc Hoang Truong Huynh, Dung Tran Vinh, Khoa Duc Anh Lam +9Federated LearningReputation

  34. FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity

    Aug 2, 2026Ganghyeon Lee, Inha Lee, Junhee Lee +3Robotic PerceptionDepth Estimation

  35. FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices

    Aug 2, 2026Hongliang Zhang, Zhongyuan Yu, Fenghua Xu +3Federated LearningByzantine Attacks

  36. Lethe: How Hard Is It to Forget? A Benchmark for Federated Unlearning in Medical Imaging

    Aug 2, 2026Shengchao Chen, Ting ShuFederated LearningMedical Imaging

  37. Similarity Weighted Aggregation with Global Differential Privacy for Federated Brain Lesion Segmentation

    Aug 1, 2026Muhammad Irfan Khan, Eero Lehtonen, Joni Obradovic +4Federated LearningBrain Tumor Segmentation

  38. Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks

    Aug 1, 2026Masoud Ghazikor, Zhou Ni, Morteza HashemiFederated LearningWireless Resource Allocation

  39. GQ-FSL: Green Quantized Federated Split Learning

    Jul 31, 2026Idan Roth, Lutz LampeResource-Constrained Edge DevicesHeterogeneous Edge Devices

  40. Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Federated LearningImage Clustering

  41. Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

    Jul 30, 2026Pouya Rajabi, Mohsen TooraniFederated LearningPrivacy-Preserving Framework

  42. Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning

    Jul 29, 2026Hongliang Zhang, Zhongyuan Yu, Guijuan Wang +4Federated LearningModel-Agnostic Defense

  43. FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning

    Jul 29, 2026Zhaoyang Ma, Zhihao Wu, Xin Gao +3Heterogeneous Federated LearningFederated Learning

  44. Stable and Budget-Feasible Coalition Formation for Clustered Federated Learning: A Hedonic Potential-Game Approach

    Jul 29, 2026Cengis HasanFederated LearningCoalition Formation

  45. An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks

    Jul 29, 2026Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano +2Federated LearningWifi

  46. SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies

    Jul 28, 2026Mohamed Nabih Ali, Daniele Falavigna, Alessio BruttiSpeech Large Language ModelsSpeech Encoder

  47. PIcsC: Partitioning-Induced Covariate Shift Correction

    Jul 28, 2026Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1Federated LearningPartitioning

  48. Robust Unsupervised Network Intrusion Detection via Federated Learning with Selective Aggregation under Anomalous Sample Contamination

    Jul 28, 2026Shohei Kamiguchi, Takayuki NishioReconstruction-Based Anomaly DetectionIntrusion Detection

  49. Explainable AI for Chronic Kidney Disease Prediction Using Simulated Federated Learning

    Jul 28, 2026Md Zahid Hasan Ontor, Md Al Amin, Anik Dev Nath +1Chronic Kidney DiseaseClinical Prediction

  50. MOSAIC-FL, a micro-service based privacy-preserving framework with application to genomics

    Jul 27, 2026Paul Largillier, Karl Paygambar, Cédric Gouy-Pailler +3Privacy-Preserving FrameworkHomomorphic Encryption

  51. Adaptive Data Admission and Retention for Streaming Federated Learning

    Jul 27, 2026Zhuoyi Zhao, Ben LiangFederated LearningLearning-Augmented Algorithms

  52. FedSLIM: Privacy-Preserving Federated MDL-Based Descriptive Pattern Mining Across Data Silos

    Jul 25, 2026Samar Samir Khalil, Noha S. Tawfik, Marco SpruitFederated LearningData Mining

  53. Multi-Agent Privacy Game in Federated Learning: A Unified Mean-Field View

    Jul 25, 2026Kun Zhao, Xu ChenFederated LearningAI Privacy Risks and Protection

  54. Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

    Jul 23, 2026Hariharan Ramesh, Jyotikrishna DassLow-Rank AdaptationLow-Rank Adaptation Adapters

  55. Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries

    Jul 23, 2026Hyeong-Gun Joo, Songnam Hong, Dong-Joon ShinFederated LearningHomomorphic Encryption

  56. QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation

    Jul 23, 2026Madan Baduwal, Priyanka PaudelPolyp SegmentationFederated Learning

  57. One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification

    Jul 22, 2026Afsaneh Mahanipour, Hana KhamfroushFederated LearningMedical Image Classification

  58. Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference

    Jul 22, 2026Yehuda Rudin, Osnat Keren, Michal Yemini +1Federated LearningEnsemble

  59. Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning

    Jul 22, 2026Liwei Wang, Wen Chen, Jun Li +4Wireless Resource AllocationFederated Learning

  60. A Drift Stable Quantum Federated Learning for Intelligent Services

    Jul 22, 2026Shanika Iroshi Nanayakkara, Shiva Raj PokhrelFederated LearningQuantum Neural Networks