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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618 papers

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  1. 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

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

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

  3. 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

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

    Aug 2, 2026Shengchao Chen, Ting ShuFederated LearningMedical Imaging

  5. FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds

    Aug 2, 2026Kapil Wanaskar, Gaytri Jena, Aman Chadha +3Joint-Embedding Predictive ArchitecturesUrban Environments

  6. 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

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

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

  8. Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity

    Aug 1, 2026Yinlin Zhu, Di Wu, Yi Zhang +5Federated Graph LearningCross-Modal Learning

  9. GQ-FSL: Green Quantized Federated Split Learning

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

  10. MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification

    Jul 31, 2026Sebastian Doerrich, Daniel Würtinger, Francesco Di Salvo +2Mixture-of-Experts ModelsMedical Image Classification

  11. Multi-Granularity Position Embedding of Graphs via Granular-Ball for Link Prediction

    Jul 31, 2026Sen Zhao, Cheng Liu, Shuyin Xia +4Zero-Shot Link PredictionGranular-Ball Computing

  12. Federated Foundation Models Fine-Tuning with Heterogeneous Compressed Clients

    Jul 31, 2026Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5FedavgWireless Foundation Models

  13. When Unlearning Fails: Reliable Data Deletion under Post-Training in Agent Networks

    Jul 30, 2026Zihao Ding, Jun Huang, Liang DongFederated Reinforcement LearningRetraining

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

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

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

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

  16. FedOGL: Combating Catastrophic Forgetting in Federated Open-World Multimodal Graph Learning

    Jul 30, 2026Zekai Chen, Haodong Lu, Shihao Li +5Federated Graph LearningCatastrophic Forgetting

  17. Learning Color Grading, No Photo Sharing: Federated Aesthetic Preference Learning for Personalized Image Enhancement

    Jul 30, 2026Chuanzhi Xu, Ziyuan Tao, Jean Julien KNell +5Image ProcessingFedavg

  18. Heterogeneous Ranking in Industrial-Scale Recommender Systems: A Case Study

    Jul 30, 2026Di Bai, Jintao Liu, Zhenwei Tang +3HeterogeneityMixture-of-Experts Models

  19. THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model

    Jul 29, 2026Yixin Peng, Diego Collarana, Er Jin +1Temporal Graph Neural NetworksSpatial Attention

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

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

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

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

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

    Jul 29, 2026Cengis HasanFederated LearningCoalition Formation

  23. 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

  24. FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

    Jul 29, 2026Donghang Duan, Xu Zheng, Lizong Zhang +2HeterogeneityLow-Rank Adaptation

  25. Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation

    Jul 29, 2026Jialu Xu, Mengkun Liang, Guannan Liu +2Heterogeneous Treatment EffectsCausal Representation Learning

  26. A Persona-based Rate Action Index

    Jul 29, 2026Hayden Helm, Andrew DassoriPersonaOnline Shoppers Purchasing Intention

  27. 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

  28. Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests

    Jul 28, 2026Mohammad Tajabadi, Dominik HeiderRandom ForestHeterogeneity

  29. PIcsC: Partitioning-Induced Covariate Shift Correction

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

  30. 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

  31. 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

  32. Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection

    Jul 28, 2026Yuhang Yang, Kai Tang, Chao Ye +4NegotiationConversational Benchmarks

  33. 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

  34. Unsupervised Graph Representation Learning with Complementary View Alignment

    Jul 27, 2026Zengyi Wo, Shiyu Zhang, Qiyao Peng +2HeterogeneityPosealign

  35. Adaptive Data Admission and Retention for Streaming Federated Learning

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

  36. FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities

    Jul 25, 2026Haochen Liang, Jie Zhang, Hideya OchiaiMissing ModalitiesRobust Multimodal Learning

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

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

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

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

  39. Subject-Level Heterogeneity in EEG Motor Imagery Decoding: A Large-Scale Benchmark and Portfolio-Based Reduction of the Search Space

    Jul 24, 2026Xavier Vasques, Paul Barbaste, Olivier OullierMotor ImageryLarge-Scale Benchmark

  40. FSE: Continual Learning for Named Entity Recognition by Fast-Slow Experts

    Jul 24, 2026Yunan Zhang, Yang Fan, Heng Li +2Named-Entity RecognitionEfficient Continual Learning

  41. Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement

    Jul 24, 2026Siyuan Du, Mengxi Chen, Xinyang Jiang +6AlzheimerMultimodal Clinical Data

  42. Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

    Jul 23, 2026Cande Lian, Wentao Zeng, Jiabin Wu +2Electric VehiclesElectricity Price Forecasting

  43. Towards Privacy-Preserving Federated Prompt Tuning under Data Heterogeneity: A Subspace-Decomposed Expert Approach

    Jul 23, 2026Yuhua Wang, Xiaodong Li, Yihao Guo +6Prompt TuningMixture-of-Experts Models

  44. FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents

    Jul 23, 2026Weihao Li, Jun Bai, Ziyang SongMulti-Agent EvolutionFedavg

  45. 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

  46. 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

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

    Jul 23, 2026Madan Baduwal, Priyanka PaudelPolyp SegmentationFederated Learning

  48. 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

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

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

  50. Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types

    Jul 22, 2026Michał Romaszewski, Kamil Drejer, Katarzyna Kołodziej +7Sentinel-2Building Information Modeling

  51. 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

  52. FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense

    Jul 22, 2026Chenyu Zhou, Yabin Peng, Wei Huang +3Federated Graph LearningBackdoor Attacks

  53. A Drift Stable Quantum Federated Learning for Intelligent Services

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

  54. Understanding Developer Pain Points in Federated Learning: Insights from Stack Overflow and GitHub

    Jul 21, 2026Sahand Saed, Khairul Alam, Banani RoyFederated LearningRepository

  55. Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

    Jul 21, 2026Ruth Amey, Muhammad Arifur Rahman, Taha Osman +4Federated LearningNon-Small Cell Lung Cancer

  56. SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework

    Jul 21, 2026Akarsh K Nair, Muhammad Arifur Rahman, Nicholas Shopland +8Federated LearningSynthetic Data

  57. Do Sheaf Neural Networks Use Holonomy? A Measure--Intervene--Control Study

    Jul 21, 2026Ankit Grover, Rémi BourgerieSheafNeural Network

  58. Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

    Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiLatent VariableCovariate Shift

  59. Federated Lightweight Fine-Tuning

    Jul 20, 2026Radhakrishna Achanta, Will ReedFederated LearningFederated Averaging

  60. Toward Federated Multimodal Graph Foundation Models: A Topology-Aware Multimodal Alignment Framework

    Jul 17, 2026Xunkai Li, Guohao Fu, Yuming Ai +4Federated Graph LearningGraph Foundation Model