FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE

In this study, we introduce FLIBD, a novel strategy for managing Internet of Things (IoT) Big Data, intricately designed to ensure privacy preservation across extensive system networks. By utilising Federated Learning (FL), Apache Spark, and Federated AI Technology Enabler (FATE), we skilfully inves...

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Veröffentlicht in:	Electronics (Basel) 2023-11, Vol.12 (22), p.4633
Hauptverfasser:	Karras, Aristeidis, Giannaros, Anastasios, Theodorakopoulos, Leonidas, Krimpas, George A., Kalogeratos, Gerasimos, Karras, Christos, Sioutas, Spyros
Format:	Artikel
Sprache:	eng
Schlagworte:	Big Data Collaboration Data encryption Data management Data security Evaluation Federated learning Internet of Things Machine learning Methods Privacy Program development software
Online-Zugang:	Volltext
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