Federated Learning Aggregation

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  1. Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation

    May 18, 2026M Yashwanth, Arunabh Singh, Ashok Nayak +2Federated Learning AggregationFederated Learning

  2. BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation

    May 17, 2026Yuhan Xie, Chen Lyu, Jingrong HuangFederated Learning AggregationSplit Federated Learning

  3. Practical Validity Conditions for Byzantine-Tolerant Federated Learning

    May 15, 2026Mélanie Cambus, Darya Melnyk, Tijana Milentijević +1Federated Learning AggregationByzantine-Robust Federated Learning

  4. Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers

    May 14, 2026Andras Ferenczi, Sutapa Samanta, Dagen Wang +1Federated Learning AggregationByzantine-Robust Federated Learning

  5. DisAgg: Distributed Aggregators for Efficient Secure Aggregation in Federated Learning

    May 13, 2026Haaris Mehmood, Giorgos Tatsis, Dimitrios Alexopoulos +4Federated Learning AggregationCommunication-Efficient Distributed Training

  6. Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning

    May 12, 2026Satwat Bashir, Tasos Dagiuklas, Muddesar IqbalHierarchical Federated LearningFederated Learning Aggregation

  7. FedOUI: OUI-Guided Client Weighting for Federated Aggregation

    May 12, 2026Alberto Fernández-Hernández, Jose I. Mestre, Cristian Pérez-Corral +3Federated Learning AggregationNon-IID Federated Learning

  8. A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions

    May 10, 2026Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2Federated Learning AggregationNon-IID Federated Learning

  9. Evaluating Federated Learning approaches for mammography under breast density heterogeneity

    May 9, 2026Gonzalo Iñaki Quintana, Franco Martin Di Maria, Laurence VancambergFederated Learning AggregationMedical Image Analysis

  10. FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning

    May 8, 2026Fabian Stricker, Jose A. Peregrina, David Bermbach +1Federated Learning AggregationFederated Learning

  11. Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning

    May 8, 2026Hao Chen, Zavareh BozorgaslFederated Learning AggregationWireless Communications

  12. Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA

    May 7, 2026Jinqian Chen, Chang Liu, Jihua ZhuFederated Learning AggregationLow-Rank Adaptation

  13. Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

    May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated Learning AggregationLow-Rank Adaptation

  14. Trustworthy Federated Label Distribution Learning under Annotation Quality Disparity

    May 6, 2026Junxiang Wu, Zhiqiang Kou, Hongwei Zeng +7Federated Learning AggregationLabel Distribution Learning

  15. Personalized Federated Learning for Gradient Alignment

    May 4, 2026Dongwon Kim, Gyuejeong LeeFederated Learning AggregationNon-IID Federated Learning

  16. FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training

    May 4, 2026Yijiang Li, Emon Dey, Zilinghan Li +3Federated Learning AggregationHigh-Performance Computing

  17. Federated Learning with Hypergradient-based Online Update of Aggregation Weights

    May 1, 2026Ayano Nakai-Kasai, Tadashi WadayamaFederated Learning AggregationNon-IID Federated Learning

  18. AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

    Apr 30, 2026Zehui Tang, Yuchen Liu, Feihu HuangFederated Learning AggregationByzantine-Robust Federated Learning

  19. Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

    Apr 29, 2026Gota MorishitaInverse Probability WeightingFederated Learning Aggregation

  20. Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

    Apr 25, 2026Prajwal Panth, Nishant NigamFederated Learning AggregationCommunication-Efficient Distributed Training

  21. Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy

    Apr 24, 2026Asim Ukaye, Mubarak Abdu-Aguye, Nurbek Tastan +1Federated Learning AggregationFederated Learning

  22. FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet

    Apr 24, 2026Thibault Pautrel, Florent Bouchard, Ammar Mian +1Federated Learning AggregationFederated Learning

  23. Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning

    Apr 23, 2026Amine BarrakFederated Learning AggregationCloud Computing

  24. Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data Heterogeneity

    Mar 22, 2026Zihan Fang, Qianru Wang, Haonan An +4Mixture-of-Experts Language ModelsFederated Learning Aggregation

  25. Communication-Efficient Byzantine-Robust Federated Conformal Prediction via Partial Sharing

    Feb 20, 2026Ehsan Lari, Reza Arablouei, Stefan WernerFederated Learning AggregationByzantine-Robust Federated Learning

  26. pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI

    Feb 16, 2026Qingqian Yang, Hao Wang, Sai Qian Zhang +6Federated Learning AggregationNon-IID Federated Learning