FAROOQ, EMMEN
FAROOQ, EMMEN
DISI - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
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Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer
2025 Farooq, Emmen; Milano, Michela; Borghesi, Andrea
Harnessing federated learning for anomaly detection in supercomputer nodes
2024 Farooq, Emmen; Milano, Michela; Borghesi, Andrea
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach
2024 Farooq, Emmen; Borghesi, Andrea
A Federated Learning Approach for Anomaly Detection in High Performance Computing
2023 Farooq, Emmen; Borghesi, Andrea
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Federated transfer learning for anomaly detection in HPC systems: First real-world validation on a tier-0 supercomputer | Farooq, Emmen; Milano, Michela; Borghesi, Andrea | 2025-01-01 | EXPERT SYSTEMS WITH APPLICATIONS | - | 1.01 Articolo in rivista | - |
| Harnessing federated learning for anomaly detection in supercomputer nodes | Farooq, Emmen; Milano, Michela; Borghesi, Andrea | 2024-01-01 | FUTURE GENERATION COMPUTER SYSTEMS | - | 1.01 Articolo in rivista | FGCS_FL_Revision__2.pdf |
| LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach | Farooq, Emmen; Borghesi, Andrea | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | FL_LSTM.pdf |
| A Federated Learning Approach for Anomaly Detection in High Performance Computing | Farooq, Emmen; Borghesi, Andrea | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | FL_for_HPC_2.pdf |