Federated Learning for Anomaly Detection in Server Monitoring and System Reliability: Evaluating the Effectiveness of Federated Isolation Forests in Anomaly Detection

Seyedeh Sarah Ghiyasi

Federated Learning for Anomaly Detection in Server Monitoring and System Reliability: Evaluating the Effectiveness of Federated Isolation Forests in Anomaly Detection.

Rel. Monica Visintin. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2025

Abstract

Federated Learning for Anomaly Detection in Server Monitoring and System Reliability

Relators

Monica Visintin

Academic year

2024/25

Publication type

Electronic

Number of Pages

Additional Information

Tesi secretata. Fulltext non presente

Course of studies

Master of science program in Ict For Smart Societies

Classe di laurea

New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING

URI

https://webthesis.biblio.polito.it/id/eprint/35328

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