Cover Image

FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liao, Yihan, Keung, Jacky, Mao, Zhenyu, Zhang, Jingyu, Li, Jialong
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems
by: Zhang, Jingyu, et al.
Published: (2026)

Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing
by: Wang, Yifei, et al.
Published: (2025)

On the Effectiveness of Log Representation for Log-based Anomaly Detection
by: Wu, Xingfang, et al.
Published: (2023)

Practitioners' Expectations on Log Anomaly Detection
by: Ma, Xiaoxue, et al.
Published: (2024)

Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach
by: Mao, Zhenyu, et al.
Published: (2025)

LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
by: Yamanaka, Yuuki, et al.
Published: (2024)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)

Exposing and Defending Membership Leakage in Vulnerability Prediction Models
by: Liao, Yihan, et al.
Published: (2025)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)

OneLog: Towards End-to-End Training in Software Log Anomaly Detection
by: Hashemi, Shayan, et al.
Published: (2021)

Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts
by: Zhang, Jingyu, et al.
Published: (2026)

Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements
by: Mao, Zhenyu, et al.
Published: (2025)

FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
by: Zhao, Xinlong, et al.
Published: (2025)

On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
by: Ma, Xiaoxue, et al.
Published: (2024)

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
by: Guo, Hongcheng, et al.
Published: (2024)

Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
by: Yang, Lin, et al.
Published: (2023)

ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
by: Jabri, Chaymae El, et al.
Published: (2024)

A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
by: Ali, Shan, et al.
Published: (2023)

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
by: Qi, Jiaxing, et al.
Published: (2025)

LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
by: Mäntylä, Mika, et al.
Published: (2023)

FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
by: Wang, Huanchi, et al.
Published: (2026)

MLAD: A Unified Model for Multi-system Log Anomaly Detection
by: Zang, Runqiang, et al.
Published: (2024)

Graph Neural Networks based Log Anomaly Detection and Explanation
by: Li, Zhong, et al.
Published: (2023)

FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning
by: Xiong, Qi, et al.
Published: (2025)

LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics
by: Patel, Disha
Published: (2026)

R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability
by: Wang, Yifei, et al.
Published: (2026)

What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach
by: Wu, Xingfang, et al.
Published: (2024)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
by: Liu, Shuo, et al.
Published: (2024)

LogRouter: Adaptive Two-Level LLM Routing for Log Question Answering in Big Data Systems
by: Coskuner, Mert, et al.
Published: (2026)

LogAction: Consistent Cross-system Anomaly Detection through Logs via Active Domain Adaptation
by: Duan, Chiming, et al.
Published: (2025)

LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis
by: Barnes, Marcus Emmanuel, et al.
Published: (2026)

AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
by: Li, Xinyu, et al.
Published: (2025)

Hypergraph-Guided Regex Filter Synthesis for Event-Based Anomaly Detection
by: Ferreira, Margarida, et al.
Published: (2025)

HELP: Hierarchical Embeddings-based Log Parsing
by: Xu, Andy, et al.
Published: (2024)

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation
by: Li, Xinyu, et al.
Published: (2026)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
by: Shan, Shiwen, et al.
Published: (2024)

Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
by: Yang, Xixuan, et al.
Published: (2025)

FedCSD: A Federated Learning Based Approach for Code-Smell Detection
by: Alawadi, Sadi, et al.
Published: (2023)

Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis
by: Kumar, Rohan, et al.
Published: (2026)

Multivariate Log-based Anomaly Detection for Distributed Database
by: Zhang, Lingzhe, et al.
Published: (2024)