Anomaly detection in log-event sequences: A federated deep learning approach and open challenges-Reference-Cited by-同舟云学术

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Anomaly detection in log-event sequences: A federated deep learning approach and open challenges

Published:2024-06 Issue: Volume:16 Page:100554
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Himler Patrick^ORCID,Landauer Max,Skopik Florian,Wurzenberger Markus

Funder

European Union

European Defence Fund

Publisher

Elsevier BV

Reference39 articles.

1. Flower: A friendly federated learning research framework;Beutel,2020

2. Pattern recognition and machine learning (information science and statistics);Bishop,2006

3. Deep learning for anomaly detection: A survey;Chalapathy,2019

4. Anomaly detection: A survey;Chandola;ACM Computing Surveys (CSUR),2009

5. LogDeep;Donglee-Afar,2020

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