PSFL: Ensuring Data Privacy and Model Security for Federated Learning

The integration of blockchain-based federated learning (BFL) and Industry 4.0 utilizes intermediate models to execute task deployment and result acceptance, effectively solving the problems of data barriers and data resource waste in Industry 4.0. However, the BFL ecosystem is susceptible to poisoni...

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Veröffentlicht in:	IEEE internet of things journal 2024-08, Vol.11 (15), p.26234-26252
Hauptverfasser:	Li, Jing, Tian, Youliang, Zhou, Zhou, Xiang, Axin, Wang, Shuai, Xiong, Jinbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blockchain Computational modeling Data models Data privacy Digital signatures Effectiveness Federated learning federated learning (FL) Fourth Industrial Revolution Industry 4.0 Machine learning model security Poisoning Privacy Protection Security
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