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- 2025
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Mark
Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications
- Contribution to journal › Article
-
Mark
ALogSCAN: A Self-Supervised Dual Network for Adaptive and Timely Log Anomaly Detection in Clouds
(2025) In IEEE Transactions on Cognitive Communications and Networking
- Contribution to journal › Article
- 2024
-
Mark
Real-Time Adaptive Anomaly Detection in Industrial IoT Environments
(2024) In IEEE Transactions on Network and Service Management
- Contribution to journal › Article
- 2023
-
Mark
Real-Time Anomaly Detection Using Distributed Tracing in Microservice Cloud Applications
(2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A Deep Learning Approach for Real-Time Application-Level Anomaly Detection in IoT Data Streaming
(2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A Deep Learning Approach for Root Cause Analysis of Application Anomalies for Real-Time IIoT
(2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
AORTA: Advanced Offloading for Real-time Applications
(2023) Real-Time Cloud (RT-CLOUD), 2023
- Contribution to conference › Paper, not in proceeding
