Federated Learning

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  1. GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI

    Jun 18, 2026Julia Alekseenko, Pietro Mascagni, AI4SafeChole Consortium +1Surgical Video UnderstandingFederated Learning

  2. Federated Bilevel Performative Prediction

    Jun 18, 2026Liangxin Qian, Chang Liu, Xuanyu Cao +2Bilevel OptimizationPerformative Prediction

  3. Variational Consensus Monte Carlo for Bayesian Mixture

    Jun 17, 2026Julie Fendler, Francesca L. Crowe, Tom Marshall +2Markov Chain Monte CarloFederated Learning Aggregation

  4. SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System

    Jun 16, 2026Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1Hierarchical Federated LearningMechanism Design

  5. C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift

    Jun 16, 2026Davide Domini, Gianluca Aguzzi, Lorenzo Pellegrini +2Federated Learning AggregationFederated Continual Learning

  6. TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization

    Jun 16, 2026William Kalikman, Ivo Petrov, Dimitar I. Dimitrov +1Gradient Inversion AttacksTransformer

  7. Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    Jun 15, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Explainable Artificial IntelligencePrivacy-Preserving ML

  8. Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

    Jun 15, 2026Xiaolin Li, Ning Wang, Ninghui Li +1Backdoor Attacks in Federated LearningDifferentially Private Federated Learning

  9. Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages

    Jun 15, 2026Alvaro Javier Vargas Guerrero, Xinguang Wang, Quang Manh Doan +1Communication-Efficient Distributed TrainingPrivacy-Preserving ML

  10. Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection

    Jun 15, 2026Markus Bujotzek, Dimitrios Bounias, Stefan Denner +4Medical Image SegmentationMedical Image Benchmarks

  11. Distribution Alignment for One-Shot Federated Learning via Optimal Transport

    Jun 15, 2026Daniele Berardini, Vito Paolo Pastore, Vittorio MurinoDistribution MatchingOptimal Transport

  12. pFedUL: Layer-Aware Federated Unlearning for Personalized Federated Learning

    Jun 15, 2026Zhuodong Liu, Xiangyu Li, Zhihao ZhangFederated UnlearningFederated Learning

  13. PreLort: Prefix-Nested LoRA for Federated Fine-Tuning under Rank Heterogeneity

    Jun 14, 2026Muhammad Waseem, Nurbek Tastan, Andrej Jovanovic +4Federated Learning AggregationLLM Fine-Tuning

  14. When Generator Replay Degrades: Projected Rehearsal Orchestration for Heterogeneous Federated Class-Incremental Learning

    Jun 14, 2026Thinh T. H. Nguyen, Khoa D. Doan, Binh T. Nguyen +2Class-Incremental LearningFederated Continual Learning

  15. Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts

    Jun 14, 2026Yijun Lu, Zihan Fang, Pengpeng Qiao +6Federated Learning AggregationLLM Fine-Tuning

  16. HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning

    Jun 13, 2026Thinh T. H. Nguyen, Le-Tuan Nguyen, Minh-Duong Nguyen +4Federated Continual LearningNon-IID Federated Learning

  17. Deep Learning in Seismic Interpretation: Federated Advances in Salt Dome Segmentation

    Jun 12, 2026Muhammad Zain Mehdi, Muhammad Zaid, Owais AleemImage SegmentationU-Net

  18. Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach

    Jun 12, 2026Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1Privacy-Preserving MLPost-Quantum Cryptography

  19. Federated Learning for Feature Generalization with Convex Constraints

    Jun 12, 2026Dongwon Kim, Donghee Kim, Sung Kuk Shyn +1Federated Learning AggregationFederated Learning

  20. MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning

    Jun 12, 2026Xiaobo Zhao, Daniel E. LucaniGradient CompressionFederated Learning

  21. FedSPC: Shared Parameter Correction for Personalized Federated Learning

    Jun 11, 2026Kannanthodath Induchoodan Ajay Menon, Christian Prehofer, Yunfei Xu +1Non-IID Federated LearningFederated Learning

  22. Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers

    Jun 11, 2026Samuel Erickson, Mikael JohanssonGradient ClippingStochastic Optimization Convergence

  23. Towards Personalized Federated Learning for Dysarthric Speech Recognition

    Jun 11, 2026Tao Zhong, Mengzhe Geng, Jiajun Deng +2Federated Learning AggregationAutomatic Speech Recognition

  24. A solvable model for unsupervised federated learning

    Jun 11, 2026Giovanni Catania, Aurélien Decelle, Gianluca Manzan +2Statistical Physics of LearningUnsupervised Learning

  25. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationReconstruction-Based Anomaly Detection

  26. Accurate and Resource-Efficient Federated Continual Learning

    Jun 9, 2026Jebacyril Arockiaraj, Dhruv Parikh, Jayashree Adivarahan +2Communication-Efficient Distributed TrainingContinual Learning