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- 2025
-
Mark
Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications
Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan LU
and Mini, Raquel
LU
(2025)
In IEEE Transactions on Machine Learning in Communications and Networking
3.
- Contribution to journal › Article
- 2024
-
Mark
Real-Time Adaptive Anomaly Detection in Industrial IoT Environments
Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan LU
and Mini, Raquel
(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
Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Saleem, Ahsan ; Glitho, Roch ; Eker, Johan LU
and Mini, Raquel
LU
(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
Raeiszadeh, Mahsa ; Saleem, Ahsan ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan LU
and Mini, Raquel
LU
(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
Saleem, Ahsan ; Raeiszadeh, Mahsa ; Ebrahimzadeh, Amin ; Glitho, Roch ; Eker, Johan LU
and Mini, Raquel
LU
(2023)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
AORTA: Advanced Offloading for Real-time Applications
Balador, Ali ; Eker, Johan ; Ul Islam, Raihan ; Mini, Raquel ; Nilsson, Klas ; Ashjaei, Mohammad ; Mubeen, Saad ; Hansson, Hans and Årzén, Karl-Erik LU
(2023)
Real-Time Cloud (RT-CLOUD), 2023
- Contribution to conference › Paper, not in proceeding