SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol

Research article (IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018) · cited 45× · AI/ML
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SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol

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SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. Retrieved May 24, 2026, from https://4ort.xyz/entity/securelr-secure-logistic-regression-model-via-a-hybrid-cryptographic-protocol
MLA “SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/securelr-secure-logistic-regression-model-via-a-hybrid-cryptographic-protocol.
BibTeX @misc{4ortxyz_securelr-secure-logistic-regression-model-via-a-hybrid-cryptographic-protocol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol}}, year = {2026}, url = {https://4ort.xyz/entity/securelr-secure-logistic-regression-model-via-a-hybrid-cryptographic-protocol}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol — https://4ort.xyz/entity/securelr-secure-logistic-regression-model-via-a-hybrid-cryptographic-protocol (retrieved 2026-05-24)

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