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Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial.

, , and . LIDTA@ECML/PKDD, volume 154 of Proceedings of Machine Learning Research, page 7-20. PMLR, (2021)

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Anomaly Detection Through Unsupervised Federated Learning., , and . MSN, page 495-501. IEEE, (2022)Communication Costs Analysis of Unsupervised Federated Learning: an Anomaly Detection Scenario., , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 19-24. CEUR-WS.org, (2023)A Novel Data-Centric Programming Model for Large-Scale Parallel Systems., , , , , , , , , and 5 other author(s). Euro-Par Workshops, volume 11997 of Lecture Notes in Computer Science, page 452-463. Springer, (2019)Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial., , and . LIDTA@ECML/PKDD, volume 154 of Proceedings of Machine Learning Research, page 7-20. PMLR, (2021)