Federated Learning

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

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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

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

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

  2. 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

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

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

  4. Federated Lightweight Fine-Tuning

    Jul 20, 2026Radhakrishna Achanta, Will ReedFederated LearningFederated Averaging

  5. 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

  6. Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

    Jul 15, 2026Haobo Zhang, Jiankun Wang, Suraj Rajendran +5Federated LearningLow-Rank Adaptation

  7. Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks

    Jul 15, 2026Santhosh Parampottupadam, Andres Martinez, Dimitrios Bounias +3Data LeakageFederated Learning

  8. Mixed-Timescale Differential Coding for Downlink Model Broadcast in Wireless Federated Learning

    Jul 14, 2026Chung-Hsuan Hu, Zheng Chen, Erik G. LarssonFederated LearningWireless Resource Allocation

  9. Continual Learning with Elastic Regularization and Synthetic Replay for Federated MLLM Fine-Tuning

    Jul 13, 2026Jing Liu, Chenxuanyin Zou, Jiayang Ren +5Federated LearningMulti-Modal Large Language Models

  10. Enhanced Byzantine-Robust Federated Learning Via Truncated-Quadratic Loss for Heterogeneous Data

    Jul 13, 2026Zhi-Yong Wang, Hao Nan Sheng, Werner Stefan +3Federated LearningByzantine Attacks

  11. Toward Production-Ready Federated Learning in Healthcare: Privacy, Orchestration, and Governance in MLOps

    Jul 11, 2026Sakshi Gorkhali, Jonesh ShresthaFederated LearningHealthcare

  12. Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems

    Jul 9, 2026Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4Internet Of ThingFederated Learning

  13. Secure Decentralized Federated Learning via Gossip and Virtual Voting

    Jul 9, 2026Amirhossein Taherpour, Xiaodong WangFederated LearningCertificates

  14. FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning

    Jul 9, 2026Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2Federated LearningFedavg

  15. Benchmark Evaluation of Feredated Learning on Multi-organ Images

    Jul 9, 2026Junbin Mao, Xu Tian, Jianchun Zhu +2Federated LearningOnline Learning

  16. FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection

    Jul 9, 2026Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7Federated LearningTransfer Learning

  17. Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems

    Jul 9, 2026Shuo Huai, Di Liu, Hao Kong +5Federated LearningHeterogeneous Edge Devices

  18. Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

    Jul 8, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated LearningDifferential Privacy

  19. FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation

    Jul 8, 2026Chongkai Li, Bang Zhang, Wenjian LuoFederated LearningPrivacy-Preserving Framework

  20. Robust Federated Learning Under Real-World Client Churn

    Jul 8, 2026Dhruv Garg, Neha Lakhani, Debopam Sanyal +3Federated LearningHeterogeneous Edge Devices

  21. AirPASS: Over-the-Air Federated Learning via Pinching Antenna Systems

    Jul 7, 2026Seyed Mohammad Azimi-Abarghouyi, Christopher G. BrintonReconfigurable Intelligent SurfacesBeamforming

  22. Dual Attention Heads for Personalized Federated Learning in ECG Classification

    Jul 7, 2026Kien Le, Joseph Lindley, Quoc Bao Phan +1Electrocardiogram ClassificationFederated Learning

  23. Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices

    Jul 7, 2026Quoc Bao Phan, Tuy Tan NguyenFederated LearningContext Compression

  24. ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

    Jul 7, 2026Aavash Chhetri, Bibek Niroula, Eduard Vazquez +4Missing ModalitiesRobust Multimodal Learning

  25. WHERE to Generate Matters: Budget-Aware Synthetic Augmentation for Label Skewed Federated Learning

    Jul 7, 2026Sangwoo Lee, Sunghwan Park, Jaewoo LeeFederated LearningFedavg

  26. PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning

    Jul 7, 2026Harsh Kasyap, Anil Kumar Pradhan, Ugur Ilker Atmaca +2Federated LearningByzantine Attacks

  27. Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning

    Jul 5, 2026Kaushal Attaluri, Rebeca P. Diaz-Redondo, Manuel Fernandez VeigaFederated LearningWireless Resource Allocation

  28. Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks

    Jul 5, 2026Zubaida Fatima, Zubair Shaban, Yusuf Jamal +3Federated LearningBeamforming

  29. SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan Guo +2Federated LearningHeterogeneity

  30. FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan GuoFederated LearningFrequency Domain

  31. FedProIn: Mitigating Client Drift for Learnable Prototypes in Federated Medical Imaging

    Jul 5, 2026Harsh Kumar, Tarun Kumar Garg, Vaanathi SundaresanFederated LearningFedavg

  32. FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture

    Jul 5, 2026Zijian Wang, Pengfei Li, Guangyu Yang +1Heterogeneous Federated LearningFederated Learning

  33. FedAvg for HAR: Exploring the Tradeoff Between Personalized and Generalization Accuracy

    Jul 3, 2026Andrea De Luna, Susanna Peretti, Chiara Contoli +1Federated LearningFedavg

  34. Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities

    Jul 3, 2026Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2Federated LearningHeterogeneity

  35. QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

    Jul 2, 2026Quoc Bao Phan, Tuy Tan NguyenFederated LearningMulti-Agent Reinforcement Learning

  36. Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data

    Jul 2, 2026Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Georgios Kellaris +3Federated LearningMulti-Drone Coordination

  37. Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

    Jul 2, 2026Xavier Martínez-Luaña, Alba Gude-Santos, Manuel Fernández-Veiga +1Privacy-Preserving FrameworkFederated Learning

  38. Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning

    Jul 1, 2026Haemin Park, Diego Klabjan, Martin W. Braun +2Federated LearningClass Imbalance

  39. Auto-FL-Research: Agentic Search for Federated Learning Algorithms

    Jul 1, 2026Holger R. Roth, Ziyue Xu, Chester Chen +3Federated LearningAutoresearch

  40. Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

    Jul 1, 2026Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar +5Intrusion DetectionFederated Learning

  41. Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning

    Jun 30, 2026Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas LundellFederated LearningEntropy-Regularized Equilibrium Selection

  42. TallyTrain: Communication-Efficient Federated Distillation

    Jun 30, 2026Radhakrishna Achanta, Will ReedFederated LearningChain-Of-Thought Distillation

  43. Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

    Jun 30, 2026Aizierjiang AiersilanFederated LearningCertified Point-Cloud

  44. FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning

    Jun 30, 2026Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFederated LearningHeterogeneity

  45. Expected Gain-based Escalation in Vertical Federated Learning

    Jun 30, 2026Mohamad Mestoukirdi, Vincent CorlayFederated LearningEscalation

  46. Discovering Collaboration from Novelty: Random Network Distillation for Clustered Federated Learning

    Jun 29, 2026Davide Domini, Gianluca Aguzzi, Ivana Dusparic +2Federated LearningDistributional Learning

  47. An AI-Based Solution for Secure Service Provisioning in IoT

    Jun 29, 2026Marco Arazzi, Mert Cihangiroglu, Serena Nicolazzo +2Internet Of ThingFederated Learning

  48. Federated Learning with Energy-Based Structured Probabilistic Inference

    Jun 29, 2026Dario Fenoglio, Daniil Kirilenko, Martin Gjoreski +1Federated LearningDistributional Learning

  49. SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning

    Jun 28, 2026Yaron Kiselman, Kfir Y. LevyFederated LearningWeighted

  50. Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning

    Jun 27, 2026Wenhao Yuan, Chenchen Lin, Jian Chen +3Federated LearningDomain Incremental Learning

  51. FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks

    Jun 26, 2026Emmanuel Rassou, Tomas GonzalezFederated LearningByzantine Attacks

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

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

  53. FedReLa: Imbalanced Federated Learning via Re-Labeling

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

  54. Federated Hash Projected Latent Factor Learning

    Jun 24, 2026Jialan HeFederated LearningAI Privacy Risks and Protection

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

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

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

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

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

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

  58. 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

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

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

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

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