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

A weekly snapshot of new work published in Federated Learning.

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617 papers

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  1. Feature Suppression and Differential Privacy for Residential Traffic Classification: A Two-Home Federated Study

    Sep 20, 2026Márton Pál Lipcsey-Magyar, Adrian PekarFederated LearningDifferential Privacy

  2. Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning

    Sep 17, 2026Simon Süwer, Julian Klemm, Elisa Acitelli +38Federated LearningMimic-Iv Datasets

  3. Distributionally Robust Federated Learning with Multi-Source Data

    Sep 17, 2026Yingzhu Liu, Zhongkui Li, Pengcheng You +1Federated LearningDistributional Learning

  4. Accelerating Sharded Data Parallelism at Scale with Federated Learning

    Sep 17, 2026Gianluca Mittone, Marco AldinucciFederated LearningParallel

  5. QoS-Aware Federated Learning for Multimodal In-Cabin Interaction in Smart Vehicles

    Sep 17, 2026Baran Can Gül, Mert Nakıp, Nasser Jazdi +1Federated LearningV2X

  6. Efficiently Distributed Federated Learning

    Sep 17, 2026Gianluca Mittone, Robert Birke, Marco AldinucciFederated LearningHeterogeneous Edge Devices

  7. Co-VLA: Consensus-based Federated Training for Vision-Language-Action Models

    Sep 17, 2026Haolong Li, Guner Dilsad Er, Michael Muehlebach +1Scalable Robot LearningFederated Learning

  8. Federated Learning Framework for Privacy-Preserving Kidney Stone Detection

    Sep 17, 2026Najiyya Younas, Omar Abdulkader, Yaser Ali Shah +3Federated LearningYolo26

  9. Opinion Dynamics-based Coalition Formation for Federated Learning in Heterogeneous IoT Systems

    Sep 17, 2026Mohammed El Hanjri, Anas Abouaomar, Hamidou Tembine +1Federated LearningFederated Averaging

  10. FedFIbOS: Fisher Importance based Optimal Submodelling for Heterogeneous Federated Learning

    Sep 17, 2026Yasmeen Afzal, Jeremiah D. Deng, Haibo ZhangHeterogeneous Federated LearningFederated Learning

  11. Rethinking How We Evaluate Methodological Progress in Health AI

    Sep 16, 2026Florent Pollet, Matthew McDermottElectronic Health RecordsArtificial Intelligence Evaluation

  12. FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels

    Sep 16, 2026Jintao Yan, Tan Chen, Yuxuan Sun +2Federated LearningFedavg

  13. Personalized Federated Learning through Global Knowledge Distillation and Local Head Adaptation

    Sep 15, 2026Polycarpo Souza Neto, José Mairton Barros da Silva Júnior, Charles Casimiro CavalcanteFederated LearningCandidate Label Distributions

  14. Structural Negative Transfer in Federated Graph Neural Networks: Diagnosis, Causal Investigation, and the Limits of Divergence-Aware Mitigation

    Sep 15, 2026Chethana Prasad Kabgere, Shylaja SSFederated Graph LearningFederated Learning

  15. Adaptive Bayesian Partner Selection for Federated Clinical Centers

    Sep 15, 2026Navid Seidi, Satyaki Roy, Sajal K. DasFederated LearningPrivacy-Preserving Framework

  16. Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge Caching

    Sep 14, 2026Farnaz Niknia, Ping WangMeta-LearningHeterogeneous Edge Devices

  17. Privacy-Aligned Personalized Federated Learning with Compact Adaptation and Variable-Length Gaussian Communication

    Sep 14, 2026Yilin Xu, Chun Hei Michael Shiu, Chih Wei Ling +1Federated LearningDifferential Privacy

  18. Privacy-enhanced federated learning via asynchronous aggregation and local differential perturbation

    Sep 14, 2026Zhen Zhong, Shini Yang, Liesheng WeiFederated LearningDifferential Privacy

  19. LLM-Based Schema-Aware Split Learning for Privacy-Preserving Mental Distress Prediction Across Heterogeneous Surveys

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilPrivacy-Preserving FrameworkMental Health

  20. SWB-DM: A Calibrated Sliced-Wasserstein-Barycenter Aggregator with Delayed-Momentum Caching for Byzantine-Robust Federated Learning under Partial Participation

    Sep 14, 2026Saranraj S, Saranya M S, Alex David S +1Federated LearningByzantine Attacks

  21. Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

    Sep 14, 2026Bassel Soudan, Sohail Abbas, Ahmed Kubba +2Federated LearningScalability

  22. FedLTLib: A Comprehensive Benchmark for Federated Long-Tail Learning

    Sep 14, 2026Changkun Lin, Junxiao WangFederated LearningFedavg

  23. End-to-End Verifiable and Robust Federated Learning

    Sep 14, 2026Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2Federated LearningByzantine Attacks

  24. USPLIT-VQA: U-Shaped Split Learning for Visual Question Answering with Contribution-Aware Weighted Aggregation

    Sep 14, 2026Md Khalid Syfullah, Alvi Ataur KhalilTextvqaFederated Learning

  25. Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning

    Sep 14, 2026Satwat Bashir, Tasos DagiuklasFederated LearningThroughput

  26. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFederated LearningFairness-Aware Learning

  27. High-Probability Convergence of SGD via Batched Updates

    Sep 14, 2026Feng Zhu, Robert W. Heath Jr., Aritra MitraStochastic Gradient DescentFederated Learning

  28. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 14, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamFederated LearningChurn Prediction

  29. MPT: Missing Prototype Tracking via Barycentric Reconstruction in Vehicular Federated Learning

    Sep 14, 2026Hanju Jang (Yonsei University), Gyeongmin Han (Yonsei University), Sungmin Lee (Yonsei University) +3Federated LearningRobust Vehicle Recognition

  30. Diverse Minds, Divided Networks? Personality Composition, Polarization, and Collective Intelligence in LLM-Based Social Simulations

    Sep 14, 2026Raad Bin TareafPersonalityIdeology

  31. CryptoL: Towards Scale Dominance and Physics Constraints Mitigation in Financial Multivariate Time Series Forecasting

    Sep 12, 2026Yalda Taheri, Mohammad Hassan Heydari, Armon Rasooli +3Decentralized FinanceMultivariate Time Series Forecasting

  32. Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

    Sep 11, 2026Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +1Cluster StructureHierarchical

  33. HERALD: High-Fidelity Exemplar Retrieval with Adaptive Landmark Distillation for Heterophily-Aware Graph Condensation

    Sep 11, 2026Sujan Chakraborty, Priyanka Saha, Saptarshi BejText-Attributed GraphHeterogeneity

  34. Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning

    Sep 10, 2026Saeed Shariati, Mohsen Alambardar MeybodiFederated LearningStochastic Gradient Descent

  35. Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G

    Sep 10, 2026Zhuodong Liu, Xiangyu Li, Chunhong Yuan +5Federated LearningMulti-Robot Systems

  36. HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning

    Sep 9, 2026Osama Abu Hamdan, Rabin Pandey, Hao Che +2Federated LearningFedavg

  37. A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock Prediction

    Sep 9, 2026Chunxu Zhang, Bo Li, Wenliang Wang +7Vascular AgeFederated Learning

  38. Beyond Conventional Federated Learning via High-Order Regularization

    Sep 9, 2026Alireza Kabgani, Masoud AhookhoshFederated LearningRegularization Techniques

  39. Privacy-Preserving Split Learning for Federated LLM Fine-Tuning

    Sep 9, 2026Heng Jin, Chaoyu Zhang, Hexuan Yu +2Federated LearningLarge Language Model Fine-Tuning

  40. NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces

    Sep 9, 2026Daniel Adu Worae, Aarthy NagarajanBrain-Computer InterfaceHeterogeneous Federated Learning

  41. When Topology Betrays Privacy: Lattice-Based Reconstruction Attacks on Secure Aggregation in Decentralized Federated Learning

    Sep 8, 2026Wenrui Yu, Changlong Ji, Johannes Bjerva +1Federated LearningTransformation-Based Attacks

  42. Geographically Regularized AUC-Maximizing Personalized Federated Learning

    Sep 8, 2026Mayu Hiraishi, Kensuke Tanioka, Toshio ShimokawaFederated LearningPrivacy-Preserving Framework

  43. Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

    Sep 8, 2026Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2Federated LearningWireless Resource Allocation

  44. Scaling Multi-Agent Systems with Prospect-State Propagation

    Sep 7, 2026Zhimei Chen, Mu Chen, Fakhri KarrayMulti-Agent SimulationsMulti-Agent Systems

  45. When Semantically Consistent Encoding Meets View-Label Heterogeneity Modeling: A Unified Framework for Incomplete Multi-View Multi-Label Learning

    Sep 7, 2026Chengliang Liu, Bo Li, Bob Zhang +3Multi-Label ClassificationMulti-View

  46. Federated Binary Gating with Server-Side Vision-Language Inference for Surveillance Anomaly Classification

    Sep 7, 2026Côme-Alexis Puech, Sébastien Thuau, Amira Gran +3Video Anomaly UnderstandingFederated Learning

  47. Inferring Urban Mobility Interactions from Aggregated Dynamics

    Sep 7, 2026Yi Wang, Jing Li, Jinliang Deng +5Origin Destination FlowsAccurate Traffic Forecasting

  48. Robust Decentralized Personalized Federated Learning via Prediction-Constrained Neighborhood Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Federated LearningByzantine Attacks

  49. FedRAW: Preserving Rare-Label Influence in Asynchronous Federated Learning

    Sep 7, 2026Prashant Bajpai, Divya Saxena, Philippe Lalanda +1Federated LearningCandidate Label Distributions

  50. Fine-grained Distributed Backdoor Attacks in Federated Learning

    Sep 7, 2026Jian Wang, Hong Shen, Wei Ke +1Federated LearningBackdoor Attacks

  51. Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

    Sep 3, 2026Michael Khavkin, Kichang Lee, Jaeho Jin +2Federated LearningDifferential Privacy

  52. Govern the Model, Not Only the Data: Storage, Circulation, and Learning in Creative AI

    Sep 3, 2026Phoenix Perry, George Simms, Elizabeth Wilson +9Federated LearningInfrastructure

  53. Federated Causal Discovery via Regression-Directed Cumulants

    Sep 3, 2026Pablo Torrijos, Fabio Stella, José A. Gámez +1Causal Foundation ModelsFederated Learning

  54. Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

    Sep 3, 2026Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1Federated LearningIntrusion Detection

  55. Differentially private federated learning with Byzantine-robust aggregation: A cross-domain framework for secure model training in banking and healthcare systems

    Sep 2, 2026Srikumar NayakFederated LearningByzantine Attacks

  56. From Euclidean to Graph-Structured Data: A Survey of Collaborative Learning

    Sep 2, 2026Rémi Bourgerie, Šarūnas Girdzijauskas, Viktoria FodorFederated Graph LearningGraph Representation Learning

  57. Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks

    Sep 2, 2026Ali Akarma, Toqeer Ali Syed, Muhammad Khan +2Federated LearningPrivacy-Preserving Framework

  58. Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning

    Sep 2, 2026Jinxi Yu, Eric Hanchen Jiang, Levina Li +6Federated Graph LearningFederated Learning

  59. Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation

    Sep 1, 2026Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-UlloaHomomorphic EncryptionFederated Learning

  60. Optimizing Byzantine Node Placement in Decentralized Federated Learning

    Sep 1, 2026Edoardo Gabrielli, Gabriele TolomeiByzantine AttacksFederated Learning