Federated Averaging

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11 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. Smoother Flow Matching via Contrastive Trajectory Repulsion

    Oct 1, 2026Ziqi Jiang, Zhenqi He, Long ChenConditional Flow MatchingImagenet

    Department of CSE, The Hong Kong University of Science and Technology

  2. Understanding Head Geometry and Dynamics in Federated Regression through a Natural Solution Selection Rule: An Unconstrained Feature Model Analysis

    Sep 30, 2026Chuang Ma, Tomoyuki ObuchiFederated AveragingProximal Operators

    Kyoto University · NII LLMC · RIKEN AIP

  3. What Paired Evaluations Reveal under Visual Perturbations

    Sep 28, 2026Yongda Wei, Chen Zhang, Yifei Wang +4Robustness VerificationFederated Averaging

  4. Cross-Rollout Bellman Closure for Long-Horizon Agentic Reinforcement Learning

    Sep 28, 2026Yangyang Ren, Haodong Zhu, Linlin Yang +3Group-Based Reinforcement LearningBellman Equation

    Beihang University · Zhongguancun Academy · Communication University of China +2

  5. Minimax Last-Iterate Convergence in Matrix Games with Observed Actions

    Sep 28, 2026Yuheng ZhangImperfect-Information GamesMinimax

    University of Illinois Urbana-Champaign

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

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

    ENSIAS, Mohammed V University in Rabat, Morocco. · Department of Electrical and Computer Engineering, School of Engineering, University of Quebec at Trois-Rivieres, Quebec, Canada.

  7. 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

    PES University, Bengaluru, India

  8. Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification

    Sep 15, 2026Yusuf Ozturk, Bengisu Atli, Enes Goktekin +2GossipFederated Averaging

    Antalya Bilim University, Electrical and Electronics Engineering Dep. Antalya, Türkiye · Antalya Bilim University, Computer Engineering Dep. Antalya, Türkiye · Ankara University, Graduate School of Natural and Applied Sciences, Ankara, Türkiye +1

  9. Certified Uncertainty Propagation in One-Shot Federated Bayesian Models via Posterior Event Transport

    Sep 14, 2026Mahyar Mohammadi, Mohammad Hossein Badiei, Abolfazl Yaghmaei +1Bayesian Neural NetworksFinite-Sample Certificates

    School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, 1417614411, Iran · School of Computer Science, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746, Tehran, Iran

  10. Algorithmic stability via ensembling

    Sep 9, 2026Rina Foygel Barber, Richard J. SamworthFederated AveragingCovariance

    University of Chicago · University of Cambridge

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

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

    IoT Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281 USA · Institute for Intelligent Networked Systems, Northeastern University London, London, E1 8PH, UK +2

  12. 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 LearningFederated Averaging

    Advanced Artificial Intelligence (AI) Engineering and Cybersecurity Threat Research, LTIMindtree Research, New York City, NY, USA

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

    Aug 31, 2026Baraa Bilbeisi, Mengchen Fan, Baocheng Geng +1Federated LearningDataset Distillation

    Dept. of Electrical & Computer Engineering · Dept. of Computer Science

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

    Aug 5, 2026Rahil Aftab, Vineet Kumar Rakesh, Soumya Mazumdar +1Federated LearningFedavg

    Department of Computer Science and Engineering Jamia Hamdard New Delhi 110062, India · Engineering Science Homi Bhabha National Institute Anushaktinagar, Mumbai 400094, Maharashtra, India · Computer and Informatics Group Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India +1

  15. Averaging Bias: Human Faithfulness Annotations are not Locally Faithful

    Jul 31, 2026Huajian Zhang, Yiyang Feng, Jiawei ZhouExplanation FaithfulnessFaithfulness

    Stony Brook University

  16. Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective

    Jul 20, 2026Jiahe Fan, Yinghao Hou, Si Chen +3Continual Model MergingFederated Averaging

    University of Science and Technology of China · School of Information Science and Technology, Department of Automation, University of Science and Technology of China · School of Computer Science and Technology, University of Science and Technology of China

  17. Federated Lightweight Fine-Tuning

    Jul 20, 2026Radhakrishna Achanta, Will ReedParameter-Efficient Fine-Tuning MethodsModel Fine-Tuning

    Cisco Systems Inc., USA

  18. Confidence-based Ranking with Adaptive Sampling for Noisy Black-Box Optimisation

    Jul 16, 2026Enrico Halim, Hemant Kumar Singh, Tapabrata RayBlack-Box OptimizationGenetic Algorithms

    The University of New South Wales, Canberra, Australia

  19. What's in a Smoothness Constant? Tighter Rates for Local SGD with Bounded Second-order Heterogeneity

    Jul 16, 2026Kumar Kshitij Patel, Rustem Islamov, Sebastian U Stich +3SmoothnessStochastic Gradient Descent

    Department of Mathematics and Computer Science University of Basel Basel, Switzerland 4001 · Simons Institute for the Theory of Computing, Berkeley · Department of Data Science New Jersey Institute of Technology Newark, NJ, USA 07102

  20. Adaptive Runge-Kutta Step Control Buys Training Loss, Not Generalization: An Honest Compute-Matched Study of RK-Adam Optimizers

    Jul 16, 2026Akhilesh GogikarAdamTime Discretization

    1Independent Researcher.

  21. Glob3R: Global Structure-from-Motion with 3D Foundation Models

    Jul 10, 2026Junyuan Deng, Heng Li, Kejie Qiu +7Feed-Forward 3D ReconstructionStructure-From-Motion

    The Hong Kong University of Science and Technology · Tongyi Lab, Alibaba Group · Nanjing University +1

  22. NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL

    Jul 8, 2026Erdemt Bao, Xing Lei, Jun Chen +2Goal-Conditioned Reinforcement LearningReweighting

    Huazhong University of Science and Technology · Xi’an Jiaotong University · University of Electronic Science and Technology of China

  23. On the Convergence of Adam, Revisited

    Jul 3, 2026Steven Heilman, Sampad MohantyAdam\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret

    Department of Mathematics, University of Southern California, Los Angeles, CA 90089.

  24. Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms?

    Jul 3, 2026Masahiro Kato, Taka KatoFederated Averaging

    Data Analytics Department, Mizuho-DL Financial Technology, Co., Ltd. · NP-hard Inc.

  25. Precomputing the Future-Offset Average in TriAttention

    Jul 1, 2026Amarnath MukherjeeKimi Delta AttentionKey-Value Cache

    Hozhoke, Inc.

  26. A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak--Ruppert Averaging

    Jun 23, 2026Wei-Cheng Lee, Francesco OrabonaStep AccuracyTemporal Difference

    King Abdullah University of Science and Technology (KAUST) Thuwal, 23955-6900, Kingdom of Saudi Arabia

  27. GARIP: A Running-Average Moving Reference for Last-Iterate Self-Play in Two-Player Zero-Sum Games

    Jun 21, 2026Can SavcıImperfect-Information GamesSelf-Play

    Independent Researcher İzmir, Türkiye

  28. Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model

    Jun 18, 2026Xiaoyu Li, Junwei Yu, Jiaojiao Jiang +2Optimal Sample ComplexityPolytopes

    University of New South Wales · University of California, Berkeley · University of Sydney

  29. Towards Personalized Federated Learning for Dysarthric Speech Recognition

    Jun 11, 2026Tao Zhong, Mengzhe Geng, Jiajun Deng +2Dysarthric SpeechFederated Learning

    The Chinese University of Hong Kong, China · National Research Council Canada, Canada

  30. Adaptive Weighted Averaging

    Jun 11, 2026Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar +1Stochastic OptimizationFederated Averaging

    University of Utah · Boston University · Google

  31. Fed-FBD: Federated Functional Block Diversification for Isolation, Privacy, and Surgical Unlearning

    Jun 10, 2026Weijie Chen, Alan B. McMillanFederated LearningFederated Averaging

    Department of Radiology, University of Wisconsin–Madison

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

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationEdge Devices

    School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom

  33. Fast and Robust Convergence Rate for TD(0) with Linear Function Approximation, Universal Learning Steps and I.I.D. Samples

    Jun 4, 2026Ziad Kobeissi, Éloïse BerthierTemporal DifferenceConvergence

    L2S · L2S, INRIA Université Paris-Saclay, CentraleSupelec, Gif-sur-Yvette, France · U2IS +1

  34. Beyond Task-Agnostic: Task-Aware Grouping for Communication-Efficient Multi-Task MoE Inference

    May 31, 2026Zhiyao Xu, Aoxue Liu, Zhanjie Ding +3Mixture-Of-Expert InferenceMixture-Of-Experts

    Tsinghua Shenzhen International Graduate School, Shenzhen, China · Pengcheng Laboratory, Shenzhen, China

  35. Q-ANCHOR: Federated Quantum Learning with ZNE-guided Correction

    May 28, 2026Hoang M. Ngo, Quan Nguyen, Wanli Xing +1Federated LearningFederated Averaging

    Department of Computer & Information Science & Engineering University of Florida · Frost Institute for Data Science and Computing University of Miami

  36. FedQHD: Closed-Form Function-Space Federated Reinforcement Learning

    May 27, 2026Yuchen Hou, Yongshan Chen, Zhuowen Zou +4Federated Averaging

    Northeastern University · University of California, Irvine · The George Washington University

  37. Hardware-Aware Federated Learning for Speech Emotion Recognition

    May 23, 2026Beyazit Bestami Yuksel, Emrah DikbiyikFederated LearningEdge Devices

    Computer Engineering Istanbul Technical University Istanbul, Turkey · Department of Computer Technologies Istanbul University-Cerrahpaşa Istanbul, Turkey

  38. AMUSE: Anytime Muon with Stable Gradient Evaluation

    May 21, 2026Jueun Kim, Baekrok Shin, Jihun Yun +3MuonFederated Averaging

    KAIST · KRAFTON · Seoul National University, KRAFTON

  39. An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

    May 19, 2026Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro +2Neural Partial Differential Equation SolversPartial Differential Equations

    MONHADE · Digital Sciences & Technologies Department, Safran Tech, Magny-Les-Hameaux, 78114, France. · DAAA, ONERA, Institut Polytechnique de Paris, Meudon, 92190, France. +1

  40. Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning

    May 18, 2026Arnab Auddy, Xiangni Peng, Subhadeep PaulFederated LearningFederated Averaging

    Department of Statistics · The Ohio State University

  41. Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies

    May 16, 2026Ryan GillespieContinual Model MergingNeural Collapse

    Independent researcher

  42. Bin Latent Transformer (BiLT): A shift-invariant autoencoder for calibration-free spectral unmixing of turbid media

    May 12, 2026Martin HohmannAutoencoder ArchitecturesOptical

    Institute of Photonic Technologies (LPT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Konrad-Zuse-Straße 3/5, 91052 Erlangen, Germany

  43. The Scaling Law of Evaluation Failure: Why Simple Averaging Collapses Under Data Sparsity and Item Difficulty Gaps, and How Item Response Theory Recovers Ground Truth Across Domains

    May 11, 2026Jung Min KangArtificial Intelligence BenchmarksItem Response Theory

    Independent Researcher · Seoul, South Korea

  44. Optimistic Dual Averaging Unifies Modern Optimizers

    May 11, 2026Thomas Pethick, Wanyun Xie, Roman Machacek +1Adaptive OptimizersFederated Averaging

    Independent Researcher · EPFL (LIONS) · University of Bern

  45. Refining Compositional Diffusion for Reliable Long-Horizon Planning

    May 4, 2026Kyowoon Lee, Yunhao Luo, Anh Tong +1Diffusion PlanningLong-Horizon Planning

    KAIST · University of Michigan · Korea University +1

  46. Higher-Order Flexible Configurations of Planar Parallel Manipulators Constructed by Averaging

    May 4, 2026Yudi Zhao, Georg NawratilRobotic ManipulatorPlanar

    Institute of Discrete Mathematics and Geometry & Center for Geometry and Computational Design, TU Wien, Austria

  47. Generalizing the Geometry of Model Merging Through Frechet Averages

    Apr 29, 2026Marvin F. da Silva, Mohammed Adnan, Felix Dangel +1Continual Model MergingFederated Averaging

    Faculty of Computer Science, Dalhousie University · 2Vector Insitute for Artificial Intelligence · Schulich School of Engineering, University of Calgary +2

  48. A Divergence-Based Method for Weighting and Averaging Model Predictions

    Apr 27, 2026Olav Benjamin VassendFederated AveragingBregman Divergences

    University of Inland Norway

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

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

    CentraleSup´elec, L2S, France · Universit´e Savoie Mont-Blanc, LISTIC, France

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

    Apr 23, 2026Amine BarrakFederated LearningShard

    Department of Computer Science and Engineering, Oakland University, Rochester, MI 48309, USA

  51. Federated Rule Ensemble Method in Medical Data

    Apr 20, 2026Ke Wan, Kensuke Tanioka, Toshio ShimokawaFederated LearningFederated Averaging

    Department of Medical Data Science Wakayama Medical University · Department of Biomedical Sciences and Informatics Doshisha University · Department of Biostatistics Wakayama Medical University

  52. Rethinking Cross-Dose PET Denoising: Mitigating Averaging Effects via Residual Noise Learning

    Apr 18, 2026Yichao Liu, Zongru Shao, Yueyang Teng +1Positron Emission TomographyU-Net

    IWR, Heidelberg University, 69120, Heidelberg, Germany · Silicon Austria Labs, 4040, Linz, Austria · College of Medicine and Biological Information Engineering, Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, 110169, Shenyang, China +1

  53. Curvature-Aligned Probing for Local Loss-Landscape Stabilization

    Apr 16, 2026Nikita Kiselev, Andrey GrabovoyAnisotropic Loss LandscapesCurvature-Aware Spectral Framework

    Department of Intelligent Systems Moscow Institute of Physics and Technology

  54. Sliding-Window Reordering with Overlap Averaging: A Simple Time-Domain Augmentation for Multivariate Forecasting

    Apr 10, 2026Jafar Bakhshaliyev, Johannes Burchert, Niels Landwehr +1AugmentationData Augmentation

    Data Science Group University of Hildesheim Hildesheim, Germany · Information Systems and Machine Learning Lab (ISMLL) University of Hildesheim Hildesheim, Germany

  55. Algebraic Diversity: Group-Theoretic Spectral Estimation from Single Observations

    Apr 4, 2026Mitchell A. ThorntonBeamformingCovariance

    Richardson, TX 75080 USA

  56. Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

    Dec 28, 2025Muhammad Haseeb, Salaar Masood, Muhammad Abdullah Sohail +2Federated AveragingRepresentation Learning

    Department of Computer Science, Lahore University of Management Sciences, Lahore, Pakistan.

  57. Formal Bayesian Transfer Learning via the Total Risk Prior

    Jul 31, 2025Nathan Wycoff, Ali Arab, Lisa O. SinghBayesian Neural NetworksEmpirical Risk Minimization

    Department of Mathematics and Statistics, University of Massachusetts Amherst · Department of Mathematics and Statistics, Georgetown University and · Department of Computer Science, Georgetown University

  58. SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging

    Jun 10, 2025Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4Linear AttentionMamba-Based Models

    Department of Mathematics; University of California, Irvine; Irvine, CA 92697, USA · Qualcomm AI Research; San Diego, CA 92121, USA

  59. Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision

    May 18, 2025Alexander Panyshev, Dmitry Vinichenko, Oleg Travkin +2Temporal Graph Neural NetworksBatch

    Risk AI Research Lab Moscow Independent Research Institute of Artificial Intelligence Moscow, Russia · Risk AI Research Lab Moscow, Russia · Risk AI Research Lab Applied AI Institute Moscow, Russia

  60. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Temporal DifferenceValue Functions

    The Voleon Group, New York, NY, USA · Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR. · Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. +1