Byzantine-Robust Federated Learning

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Overview

Byzantine-robust federated learning studies how to train a shared model when some participating clients may be faulty or malicious, without centralizing their data. Common defenses replace simple averaging with coordinate medians or trimmed means, Krum-style distance selection, geometric-median or clustering methods, and trust, anomaly, or history-based screening; newer systems also combine these with secure aggregation, differential privacy, or proofs of correct computation. Methods are tested on non-IID image and text benchmarks, intrusion detection and medical data, and increasingly decentralized, asynchronous, or edge settings, where partial participation and client diversity complicate detection. The central tension is separating malicious updates from legitimate variation while retaining accuracy and convergence: adaptive or coordinated attacks can evade filters, and guarantees often depend on assumptions about attacker numbers, honest-client structure, or available reference data.

Latest papers

CardsList

84 papers15 papers in the last four weeks, up 7% on the four weeks before. 0.1% of all new papers.

  1. LiBRA: Logit Fingerprints for Byzantine-Robust Client Selection in Federated Learning

    Oct 19, 2026Saheed A. Tijani, Frank Jiang, Ming LiuByzantine-Robust Federated LearningFederated Learning Aggregation

    Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong, Australia.

  2. Peer-Relative Trust-Guided Update Screening for Robust Semi-Decentralized Federated Learning under Label-Flipping Attacks

    Oct 19, 2026Ajay Kumar Shrestha, Sandhya JoshiTrust-Aware Federated LearningFederated Learning

    Vancouver Island University, Nanaimo BC V9R 5S5, Canada

  3. Federated Art Chase: Privacy Leakage and Data Poisoning in Federated Fine-Tuning

    Oct 15, 2026Vasileios Perifanis, Nikolaos PavlidisFederated LearningFederated Fine-Tuning

    Indigma Innovations Greece

  4. FUSE: Fairness-aware Update Screening against Byzantine Exploitation in qq-Fair Federated Learning

    Oct 14, 2026Tiantong Sun, Jinlin Liu, Xingru Wei +4Federated LearningFederated Learning Aggregation

    George Mason University · The University of Hong Kong · Huazhong University of Science and Technology +2

  5. Enhanced Detective: A Dual-Stage Proactive Defense Against Internal Poisoning Attacks in Financial Fraud Detection Using Federated Learning

    Oct 13, 2026Maria-Ioana-Andrea Ivan, Orhan Ermis, Ruxandra F. OlimidFederated Learning AggregationFederated Learning

    Department of Computer Science, University of Bucharest · Luxembourg Institute of Science and Technology (LIST), Luxembourg · Research Institute of the University of Bucharest (ICUB), Bucharest, Romania

  6. WaSA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning

    Oct 9, 2026Alessandro LicciardiWavelet Scattering TransformsByzantine-Robust Federated Learning

    Department of Mathematical Sciences, Politecnico di Torino, Turin, IT · National Institute of Nuclear Physics (INFN), Sezione di Torino, Turin, IT

  7. Byzantine-Resilient Federated Large Language Model via Hypergraph Message Passing

    Oct 8, 2026Kai Li, Hanlin Cai, Zihao Liu +5Byzantine-Robust Federated LearningFederated Learning

    School of Computer Science and Digital Technologies, Aston University, Birmingham, UK · Centre for neXt Communications (CXC), Department of Engineering, University of Cambridge, CB3 0FA Cambridge, U.K. · School of Engineering, Edith Cowan University, Perth, WA 6027 +3

  8. PVBRF-ID: Private, Verifiable and Byzantine-Robust Federated Intrusion Detection for Oilfield Enterprise Networks

    Oct 8, 2026Mustafa S. Aljumaily, Ali Ataeemh Allami, Mustafa N. Mnati +2Privacy-Preserving Federated LearningFederated Learning

    Daw Alfada Company, Amarah, Maysan, Iraq · University of Misan, Amarah, Maysan, Iraq · University of Southern Queensland, Toowoomba, QLD, Australia

  9. When to Intervene? State-Aware Sparse Manipulation in Federated Reinforcement Learning

    Oct 8, 2026Shutong Zheng, Sijia ChenFederated RLFederated Learning

    Sun Yat-sen University · The Hong Kong University of Science and Technology (Guangzhou)

  10. Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning

    Oct 2, 2026Sreejeet Maity, Aritra MitraFederated RLByzantine-Robust Federated Learning

    Department of Electrical and Computer Engineering North Carolina State University, Raleigh

  11. Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning

    Sep 30, 2026Sachi Shome, William EiersFederated Learning AggregationByzantine-Robust Federated Learning

    Stevens Institute of Technology

  12. Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework

    Sep 30, 2026Zawad Yalmie Sazid, Robert AbbasFederated Learning AggregationByzantine-Robust Federated Learning

    Victoria University, Sydney, Australia

  13. Byzantine-Robust Federated Representation Learning

    Sep 29, 2026Leonardo F. Toso, James Anderson, Rafael Pinot +1Federated LearningByzantine-Robust Federated Learning

    Columbia University, USA · Sorbonne Universit´e and Universit´e Paris Cit´e, CNRS, LPSM, France · University of Copenhagen, Denmark

  14. DecoyTrace: Toxic Decoys for Active Defense in Decentralized Federated Learning

    Sep 28, 2026Pedro Beltrán-López, Enrique Tomás Martínez Beltrán, Pantaleone Nespoli +2Byzantine-Robust Federated LearningBackdoor Attacks in Federated Learning

    Department of Information and Communication Engineering, University of Murcia, Murcia, 30100, Spain

  15. Physics-Attested Federated Learning: Securing Collaborative Anomaly Detection in Critical Water Infrastructure

    Sep 28, 2026Jeff Nijsse, Shu Su, Benjamin Oholeguy +1Byzantine-Robust Federated LearningIndustrial Anomaly Detection

    Department of Software Engineering, RMIT University, Hanoi, Vietnam · Department of Mathematical Sciences, Auckland University of Technology, New Zealand · Independent Researcher, New Zealand +1

  16. Byzantine-Robust Federated RAG via Aligned Calibration and Fixed-Membership Conformal Prediction

    Sep 27, 2026Prasanjit Dubey, Aritra Guha, Xiaoming HuoRetrieval-Augmented GenerationFederated Conformal Prediction

    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, U.S.A. · AT&T Chief Data Office

  17. BRFID: Toward Byzantine-Robust Federated Intrusion Detection

    Sep 23, 2026Asmah Muallem, Firdous Kausar, Sajid Hussain +1Byzantine-Robust Federated LearningAdversarial Attacks

    Computer Science and Data Science Meharry Medical College Nashville, TN, USA

  18. When Clients Are Orchestrated: Strategic Gradient Manipulation to Defeat Federated Learning Servers with Efficient Defense

    Sep 22, 2026Mohamed Shaaban, Ahmed Abdelnaby, Mohamed ElmahallawyFederated LearningByzantine-Robust Federated Learning

    School of Engineering and Applied Sciences, Washington State University, Richland, WA 99354, USA

  19. On the Gradient Heterogeneity Dynamics of Adversarially Robust Federated Regression

    Sep 22, 2026Leonardo F. Toso, James Anderson, Nirupam Gupta +1Byzantine-Robust Federated LearningNon-IID Federated Learning

    Columbia University, USA · University of Copenhagen, Denmark · Sorbonne Université and Université Paris Cité, CNRS, LPSM, France

  20. 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 +1Federated Learning AggregationByzantine-Robust Federated Learning

    Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India · Assistant Professor, Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India · Professor, Department of AIML Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai, India

  21. End-to-End Verifiable and Robust Federated Learning

    Sep 14, 2026Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2Federated Learning AggregationByzantine-Robust Federated Learning

    AIT Austrian Institute of Technology · Vienna, Austria · Department of Computer Engineering +2

  22. Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning

    Sep 14, 2026Ting Xu, Henry LeungFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Biomedical Engineering University of Calgary Calgary, Canada

  23. Byzantine-Robust Federated Fire Detection with a Rotating Coordinator

    Sep 9, 2026Georgia Argyrou, Aymen Bahroun, Hedi Fendri +1Federated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science, Aalto University, Espoo, Finland · Kudelski Labs

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

    Sep 7, 2026Xiao Ma, Hong Shen, Hui Tian +2Federated Learning AggregationByzantine-Robust Federated Learning

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China

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

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

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · School of Engineering and Technology, Central Queensland University, Australia · School of Information and Communication Technology, Griffith University, Australia

  26. Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

    Sep 4, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science Kennesaw State University Marietta, USA

  27. 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 +1Class-Imbalanced LearningFederated Learning Aggregation

    Bangladesh University of Business and Technology (BUBT), Mirpur-2, Dhaka-1216, Bangladesh · Jagannath University, Dhaka, Bangladesh · University of New South Wales (UNSW), ACT 2601, Australia

  28. 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 Learning AggregationByzantine-Robust Federated Learning

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

  29. Optimizing Byzantine Node Placement in Decentralized Federated Learning

    Sep 1, 2026Edoardo Gabrielli, Gabriele TolomeiByzantine-Robust Federated LearningAdversarial Attacks

    Dipartimento di Ingegneria Informatica, Automatica e Gestionale Sapienza University of Rome Rome, Italy · Dipartimento di Informatica Sapienza University of Rome Rome, Italy

  30. Robust Federated Q-Learning with Almost No Communication

    Aug 24, 2026Sreejeet Maity, Aritra MitraFederated RLQ-Learning

    Department of Electrical and Computer Engineering, North Carolina State University