IDS for industrial applications: a federated learning approach with active personalization

Vasiliki Kelli; Vasileios Argyriou; Thomas Lagkas; George Fragulis; Elisavet Grigoriou; Panagiotis Sarigiannidis

doi:10.3390/s21206743

IDS for industrial applications: a federated learning approach with active personalization

Vasiliki Kelli
, Vasileios Argyriou
, Thomas Lagkas
, George Fragulis
, Elisavet Grigoriou
, Panagiotis Sarigiannidis

Research output: Contribution to journal › Article › peer-review

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Original language	English
Article number	6743
Journal	Sensors
Volume	21
Issue number	20
Early online date	11 Oct 2021
DOIs	https://doi.org/10.3390/s21206743
Publication status	Published - 31 Oct 2021

Bibliographical note

Note: This work was supported by the European Union's
Horizon 2020 research and innovation programme under grant agreement No 957406.

Keywords

Computer science and informatics

Access to Document

10.3390/s21206743

Argyriou-V-50336-VoRFinal published version, 660 KBLicence: CC BY

https://doi.org/10.3390/s21206743

Cite this

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AU - Sarigiannidis, Panagiotis

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