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Scalable and Secure Logistic Regression via Homomorphic Encryption

Research article (Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy, 2016) · cited 186× · AI/ML
academia openalex:W2295292576
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Scalable and Secure Logistic Regression via Homomorphic Encryption

Summary

Scalable and Secure Logistic Regression via Homomorphic Encryption is a scholarly article[1].

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  • Scalable and Secure Logistic Regression via Homomorphic Encryption'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). Scalable and Secure Logistic Regression via Homomorphic Encryption. Retrieved May 24, 2026, from https://4ort.xyz/entity/scalable-and-secure-logistic-regression-via-homomorphic-encryption
MLA “Scalable and Secure Logistic Regression via Homomorphic Encryption.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scalable-and-secure-logistic-regression-via-homomorphic-encryption.
BibTeX @misc{4ortxyz_scalable-and-secure-logistic-regression-via-homomorphic-encryption_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable and Secure Logistic Regression via Homomorphic Encryption}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-and-secure-logistic-regression-via-homomorphic-encryption}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scalable and Secure Logistic Regression via Homomorphic Encryption — https://4ort.xyz/entity/scalable-and-secure-logistic-regression-via-homomorphic-encryption (retrieved 2026-05-24)

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