A Privacy Preserving Federated Learning System for IoT Devices Using Blockchain and Optimization

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"A Privacy Preserving Federated Learning System for IoT Devices Using Blockchain and Optimization"
written by Yang Han,
published by Journal of Computer and Communications, Vol.12 No.9, 2024

has been cited by the following article(s):

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[1]	Blockchain integrated AI framework for secure data sharing EPJ Web of Conferences, 2026 DOI:10.1051/epjconf/202637502005

[2]	Privacy-Preserving Sensing in MIMO Networks Using Federated Learning International Journal of Sensors, Wireless Communications and Control, 2026 DOI:10.2174/0122103279378837250717041135

[3]	Advancing Data Heterogeneity Solutions in Blockchain-Enabled Federated Learning for IoT 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), 2025 DOI:10.1109/ICDSAAI65575.2025.11011634

[4]	Performance analysis of blockchain-based secured distributed deep federated learning for wearable internet of things Cluster Computing, 2025 DOI:10.1007/s10586-024-04965-8

[5]	Blockchain-Enhanced Deep Learning Framework for Secure Patient Data Management in IoT-Enabled Healthcare Systems Cognitive Computation, 2025 DOI:10.1007/s12559-025-10503-4