Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case

Research article (EICC 2022: Proccedings of the European Interdisciplinary Cybersecurity Conference, 2022) · cited 114× · AI/ML
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Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case

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Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case. Retrieved May 24, 2026, from https://4ort.xyz/entity/homomorphic-encryption-and-federated-learning-based-privacy-preserving-cnn-training-covid-19-detection-use-case
MLA “Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/homomorphic-encryption-and-federated-learning-based-privacy-preserving-cnn-training-covid-19-detection-use-case.
BibTeX @misc{4ortxyz_homomorphic-encryption-and-federated-learning-based-privacy-preserving-cnn-training-covid-19-detection-use-case_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case}}, year = {2026}, url = {https://4ort.xyz/entity/homomorphic-encryption-and-federated-learning-based-privacy-preserving-cnn-training-covid-19-detection-use-case}, note = {Accessed: 2026-05-24}}
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