"Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, ..."

Angelos Angelopoulos et al. (2024)

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DOI: 10.1109/ACCESS.2024.3350777

access: open

type: Journal Article

metadata version: 2024-01-26

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Angelos Angelopoulos, Anastasios E. Giannopoulos, Nikolaos Nomikos, Alexandros Kalafatelis, Antonios Hatziefremidis, Panagiotis Trakadas:
Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases. IEEE Access 12: 6437-6454 (2024)

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