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europepmc
2025
置信度 0.80
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europepmc
2024
置信度 0.80
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europepmc
2024
置信度 0.80
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Data silos and privacy constraints limit the centralized development of machine learning models for cardiovascular disease. Federated learning enables multi-institutional training without sharing raw patient records, but the evidence base in cardiology and dep…
pubmed
Li J, Xiang W, Shang D, Li S 等
2026
置信度 0.82
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europepmc
2025
置信度 0.80
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europepmc
2024
置信度 0.80
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Federated learning (FL)-a distributed machine learning that offers collaborative training of global models across multiple clients. FL has been considered for the design and development of many FL systems in various domains. Hence, we present a comprehensive s…
pubmed
Madathil NT, Dankar FK, Gergely M, Belkacem AN 等
2025
置信度 0.82
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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pubmed
Raza S, Goel R, Erikstrup C, D'Alessandro A 等
2026
置信度 0.82
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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Real-world healthcare data sharing is instrumental in constructing broader-based and larger clinical datasets that may improve clinical decision-making research and outcomes. Stakeholders are frequently reluctant to share their data without guaranteed patient …
pubmed
Geva R, Gusev A, Polyakov Y, Liram L 等
2023
置信度 0.82
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europepmc
2025
置信度 0.80
-
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We present a novel cryptographic scheme that integrates homomorphic encryption with elliptic curve cryptography through the application of Weil pairing theory. Our approach, termed Elliptic Curve Homomorphic Cryptography (ECHC), leverages the isomorphic relati…
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Abstract Homomorphic encryption allows for computations on encrypted data without exposing the underlying plaintext, enabling secure and private data processing in various applications such as cloud computing and machine learning. This article presents a compr…
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Accélération matérielle pour la cryptographie homomorphe Dans cette thèse, nous nous proposons de contribuer à la définition de systèmes de crypto-calculs pour la manipulation en aveugle de données confidentielles. L’objectif particulier de ce travail est l’am…
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Chiffrement totalement homomorphe pour l'apprentissage automatique Le chiffrement totalement homomorphe permet d’effectuer des calculs sur des données chiffrées sans fuite d’information sur celles-ci. Pour résumer, un utilisateur peut chiffrer des données, tan…
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Homomorphic encryption is a powerful cryptographic technique that allows computations to be performed on encrypted data without decrypting it first. This blog post will introduce the concept of homomorphic encryption and demonstrate implementations using Pytho…
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Abhishek Tiwari
2025-12-06T21:02:44Z
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Hiroki Okada, Kazuhide Fukushima
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En route vers un chiffrement complètement homomorphe applicable Craig Gentry a proposé en 2009 le premier schéma de chiffrement complétement homomorphe. Depuis, un effort conséquent a été, et est toujours, fourni par la communauté scientifique pour rendre util…
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Construction de nouveaux outils de chiffrement homomorphe efficace Dans notre vie de tous les jours, nous produisons une multitude de données à chaque fois que nous accédons à un service en ligne. Certaines sont partagées volontairement et d'autres à contrecœu…
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In this living document, I will list all production systems I'm aware of that use fully homomorphic encryption (FHE). For background on FHE, see my overview of the field. If you have any information about production FHE systems not in this list, or corrections…
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In this living document, I will document reactions to uses of homomorphic encryption by members of the public. By "member of the public," I mean people who may be technical, but are not directly involved in the development or deployment of homomorphic encrypti…
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Contributions théoriques et pratiques au chiffrement homomorphe Dans les schémas de chiffrement classique, l'objectif principal du schéma est d'assurer la confidentialité des données. Le chiffrement totalement homomorphe, une variante réalisée pour la première…
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<p>Fully Homomorphic Encryption (FHE) is a powerful encryption system in cloud computing that allows homomorphic computations on encrypted data without decrypting them. Multi-key fully homomorphic encryption (MFHE), as an extension to FHE, allows homomor…
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Abstract Homomorphic encryption is a technique in cryptography that allows for performing operations on encrypted data. The encrypted result can then be decrypted to obtain the operation result, making it possible to perform computations on sensitive data with…
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Vers une arithmétique efficace pour les chiffrements homomorphes basée sur le Ring-LWE Le chiffrement totalement homomorphe est un type de chiffrement qui permet de manipuler directement des données chiffrées. De cette manière, il est possible de traiter des d…
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Back in May of 2022 I transferred teams at Google to work on Fully Homomorphic Encryption (newsletter announcement). Since then I've been working on a variety of projects in the space, including being the primary maintainer on github.com/google/fully-homomorph…
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In an earlier article, I covered the basic technique for performing matrix-vector multiplication in fully homomorphic encryption (FHE), known as the Halevi-Shoup diagonal method. This article covers a more recent method for matrix-matrix multiplication known a…
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<p>In this paper, we present an integrated framework that combines Federated Learning (FL) with Homomorphic Encryption (HE) using the Artificial Intelligence (AI) models and the Cheon-Kim-Kim-Song (CKKS) algorithm to address the challenges of privacy and…
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About two years ago, I switched teams at Google to focus on fully homomorphic encryption (abbreviated FHE, or sometimes HE). Since then I've got to work on a lot of interesting projects, learning along the way about post-quantum cryptography, compiler design, …
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置信度 0.70
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In my recent overview of homomorphic encryption, I underemphasized the importance of data layout when working with arithmetic (SIMD-style) homomorphic encryption schemes. In the FHE world, the name given to data layout strategies is called "packing," because i…
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Image fusion can break through the information barriers of single source images. However, during the fusion process, image information is in an unencrypted and exposed state. Therefore, we proposed the application of a homomorphic encryption scheme to image fu…
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Apprentissage machine sécurisé à l'aide de chiffrement homomorphe et de calcul vérifiable L’apprentissage automatique (ou le Machine Learning) est un domaine scientifique très en vogue en raison de sa capacité à résoudre les problèmes automatiquement et de son…
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2017-05-15T20:02:08Z
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2017-08-04T13:24:33Z
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2025-03-07T02:58:07Z
置信度 0.70
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Much of modern day cryptography deals with the notion of security and efficiency. The main concern with any cryptosystem deals with the practicality of being able to implement any encryption algorithm over large data sets. In this paper, we will look at the va…
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2025-02-26T19:22:59Z
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