Fedavg

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Period ending 2026-09-14

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  1. 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 +1Quantum Federated LearningDistributional Learning

  2. EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression

    Sep 11, 2026Motahare Mounesan, Irfan KhanIntelligent EdgeLarge Multimodal Models

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

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

  4. OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis

    Sep 9, 2026Ayush Debnath, Ruelia Saha, Sudip MisraMultimodal Clinical DataFederated Fine-Tuning

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

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

  6. Beyond Conventional Federated Learning via High-Order Regularization

    Sep 9, 2026Alireza Kabgani, Masoud AhookhoshOne-Shot Federated LearningRegularization Methods

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

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

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

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

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

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Robust Federated LearningByzantine-Robust Aggregation

  10. Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Byzantine-Robust AggregationAsymmetric Distillation

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

    Sep 7, 2026Prashant Bajpai, Divya Saxena, Philippe Lalanda +1Federated Learning FrameworkDistributional Learning

  12. 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 +1Intrusion DetectionDifferential Privacy

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

    Sep 2, 2026Srikumar NayakByzantine-Robust AggregationDifferential Privacy

  14. Optimizing Byzantine Node Placement in Decentralized Federated Learning

    Sep 1, 2026Edoardo Gabrielli, Gabriele TolomeiByzantine-Robust AggregationDistributional Learning

  15. FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

    Sep 1, 2026Sai Puppala, Koushik SinhaFederated Learning FrameworkNew Satellites

  16. Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity

    Sep 1, 2026Lei Wang, Jieming Bian, Letian Zhang +1Federated Fine-TuningHeterogeneity

  17. CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning

    Aug 31, 2026Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1One-Shot Federated LearningHeterogeneous Knowledge Distillation

  18. Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

    Aug 31, 2026Zihang Liang, Haochen Zhang, Lingzhou XueMulti-Agent Reinforcement LearningOffline Safe Reinforcement Learning

  19. Federated Multi-Task Learning for Bladder Tumor Segmentation and MIBC Classification Using a Hybrid CNN-Transformer Architecture

    Aug 31, 2026Malhar Udmale, Divyanshu Dwivedi, Aarohi Dhand +3Lesion SegmentationSwin

  20. FIS-OT: Feature-Induced Optimal Transport for Unsupervised Action Segmentation

    Aug 30, 2026Linxiang Peng, Xinyao Qin, Jinhan Li +2Temporal Action SegmentationOptimal Transport

  21. Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning

    Aug 12, 2026Mirko Konstantin, Stefan Zachow, Anirban MukhopadhyayRobust Federated LearningDistributional Learning

  22. LabelFusion-TS: Fusing Large Language Models, Transformer Encoders, and Financial Time Series for Monetary-Policy Stance Classification

    Aug 12, 2026Michael Schlee, Fabian Lukassen, Christoph WeisserFinancial Sentiment AnalysisTime Series Foundation Models

  23. FedCGR: Federated Cross-Domain Generative Recommendation

    Aug 11, 2026Zhuodong Liu, Hugen Lv, Xiangyu Li +2Collaborative FilteringFedavg

  24. SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks

    Aug 10, 2026Yue Xia, Tayyebeh Jahani-Nezhad, Mayank Bakshi +1Federated Fine-TuningArtificial Neural Networks

  25. Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach

    Aug 10, 2026Xinyi Xu, Bingnan Xiao, Shuang Qin +2Standard Low-Rank AdaptationFederated Fine-Tuning

  26. FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations

    Aug 10, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalLow Earth OrbitRobust Federated Learning

  27. Distributed Team Orchestration via Supervisor Networks: Convergence, Optimality, and Resilience

    Aug 10, 2026Juntian Zhu, Guanpu Chen, Tongtian Zhu +3Byzantine-Robust AggregationFault Tolerance

  28. Multimodal Federated Learning under Dual-Axis Modality Missingness

    Aug 10, 2026Adiba Orzikulova, Jaehyun Kwak, Jaemin Shin +5Federated Fine-TuningMissing Modalities

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

    Aug 10, 2026Jaeheon Kim, Hokeun Kim, Bong Jun ChoiFedavgMultimodal Domain Generalization

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

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimRobust Federated LearningFedavg

  31. FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

    Aug 10, 2026Van Truong Vo, Khoa Nguyen, Taehong KimFedavgLearning Rates

  32. Robust Reputation-Driven Crowdsourced Federated Learning

    Aug 9, 2026Mouhamed Amine Bouchiha, Gregory BlancRobust Federated LearningByzantine-Robust Aggregation

  33. Sheaf-Based Federated Representation Learning

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

  34. Hierarchical Multi-Task Federated Learning in VANETs

    Aug 8, 2026M. Saeid HaghighiFard, Sinem ColeriOne-Shot Federated LearningEdge Computing

  35. Private Anytime Selective-Risk Certification for Federated Retrieval-Augmented Generation: Guarantees and Empirical Limits

    Aug 8, 2026Sanjeda Akter, Ibne Farabi Shihab, Anuj SharmaFinite-Sample CertificatesFedavg

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

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

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

    Aug 6, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamQuantum Federated LearningByzantine-Robust Aggregation

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

    Aug 6, 2026Grigory MalinovskyDistributed OptimizationDistributional Learning

  39. Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks

    Aug 6, 2026Ximing Sun, Yue WangByzantine-Robust AggregationDecentralized Multi-Agent System

  40. Fairis: Fairness-Aware Aggregation with Provable Influence Containment against Fairness Poisoning Attacks in Collaborative Machine Learning

    Aug 6, 2026Devharsh Trivedi, Nesrine Kaaniche, Nikos Triandopoulos +2Fairness-Aware LearningFairness

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

    Aug 6, 2026Mohammad Hosssein Gholamrezazadeh, Ahmadreza MontazerolghaemAhmadreza MontazerolghaemInternet Of ThingIntrusion Detection

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

    Aug 5, 2026Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1FedavgFederated Averaging

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

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

  44. Personalized Federated Sparse Adaptation of Time-Series Foundation Models

    Aug 5, 2026Priyanka Nihalchandani, Naman Srivastava, Varun Ojha +1Time Series Foundation ModelsFederated Fine-Tuning

  45. 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 +2Robust Federated LearningIntrusion Detection

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

    Aug 4, 2026Shenghui Li, Thiemo VoigtFederated Fine-TuningLarge Language Model Compression

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

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

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

    Aug 4, 2026Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2Low Earth OrbitWireless Resource Allocation

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

    Aug 4, 2026Shengyang Li, Yiting Dong, Liuyang Song +5Spiking Neural NetworksFederated Learning Framework

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

    Aug 3, 2026Zijian Jiang, Chaoli Sun, Handing Wang +1One-Shot Federated LearningRobust Federated Learning

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

    Aug 3, 2026Seongyoon Kim, Boryeong Cho, Jihwan Oh +2Federated Fine-TuningLarge Language Model Personalization

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

    Aug 2, 2026Hasin Us Sami, Swapneel Sen, Basak GulerFederated Fine-TuningParameter-Efficient Fine-Tuning Methods

  53. 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 +1Quantum Federated LearningWireless Resource Allocation

  54. FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting

    Aug 2, 2026Amit Sharma, Nitin Auluck, Akramul AzimTime Series Foundation ModelsFederated Fine-Tuning

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

    Aug 2, 2026Hongliang Zhang, Zhongyuan Yu, Fenghua Xu +3Quantum Federated LearningByzantine-Robust Aggregation

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

    Aug 1, 2026Masoud Ghazikor, Zhou Ni, Morteza HashemiOne-Shot Federated LearningMulti-Drone Coordination

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

    Jul 31, 2026Shengkun Zhu, Jinshan Zeng, Zhihua Allen-Zhao +5Federated Fine-TuningFedavg

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

    Jul 30, 2026Michael Ben Ali, Imen Megdiche, André Péninou +1Robust Federated LearningOne-Shot Federated Learning

  59. TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement

    Jul 30, 2026Cheng WeiModel-Agnostic DefenseFederated Fine-Tuning

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

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