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Privacy-preserving federated neural network learning for disease-associated cell classification
High-quality medical machine learning models will benefit greatly from collaboration between health care institutions. Yet, it is …
Sinem Sav, Jean-Philippe Bossuat, Juan R. Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
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Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing …
Miran Kim, Arif Ozgun Harmanci, Jean-Philippe Bossuat, Sergiu Carpov, Jung Hee Cheon, Ilaria Chillotti, Wonhee Cho, David Froelicher, Nicolas Gama, Mariya Georgieva, Seungwan Hong, Jean-Pierre Hubaux, Duhyeong Kim, Kristin Lauter, Yiping Ma, Lucila Ohno-Machado, Heidi Sofia, Yongha Son, Yongsoo Song, Juan Troncoso-Pastoriza, Xiaoqian Jiang
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Multiparty Homomorphic Encryption from Ring-Learning-with-Errors
We present and demo of Lattigo, a multiparty homomorphic encryption library in Go. After a brief introduction of the origin and history …
Christian Mouchet, Juan R. Troncoso-Pastoriza, Jean-Philippe Bossuat, Jean-Pierre Hubaux
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