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Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System

Research article (IEEE Transactions on Network Science and Engineering, 2022) · cited 329× · AI/ML
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Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System

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Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System is a scholarly article[1].

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  • Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System. Retrieved May 24, 2026, from https://4ort.xyz/entity/homomorphic-encryption-based-privacy-preserving-federated-learning-in-iot-enabled-healthcare-system
MLA “Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/homomorphic-encryption-based-privacy-preserving-federated-learning-in-iot-enabled-healthcare-system.
BibTeX @misc{4ortxyz_homomorphic-encryption-based-privacy-preserving-federated-learning-in-iot-enabled-healthcare-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System}}, year = {2026}, url = {https://4ort.xyz/entity/homomorphic-encryption-based-privacy-preserving-federated-learning-in-iot-enabled-healthcare-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System — https://4ort.xyz/entity/homomorphic-encryption-based-privacy-preserving-federated-learning-in-iot-enabled-healthcare-system (retrieved 2026-05-24)

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