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Digital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoT

Year: 2025

Type: conference-paper

DOI: 10.1109/cies64955.2025.11007631

Authors: Mohammed Ayalew Belay, Adil Rasheed, Pierluigi Salvo Rossi

Institution: Norwegian University of Science and Technology

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Norges Forskningsråd

Award: G8170712230

OpenAlex ID: W4410639653

FWCI: 3.954

Cites: 34

Cited by: 4

Related to: 10