Results 61 to 70 of about 1,896,899 (158)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao +5 more
wiley +1 more source
Homomorphic Evaluation Cluster Architecture for Fully Homomorphic Encryption
IEEE Open Journal of Circuits and SystemsFully Homomorphic Encryption (FHE) allows computational processing of encrypted data on cloud servers, providing high security and enabling safe data utilization.
Hanyoung Lee +2 more
doaj +1 more source
Secure Cloud Computing Using Homomorphic Encryption
Безопасность информационных технологий, 2013 The question of cloud security has become more significant with growing popularity of cloud computing. This article is dedicated to fully homomorphic encryption which is one of the most promising methods to reach the necessary level of privacy.
Alexander Olegovich Zhirov +2 more
doaj
A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman +3 more
wiley +1 more source
Risk Analysis, Volume 46, Issue 11, November 2026.ABSTRACT The growing integration of artificial intelligence (AI)‐driven technologies into nuclear power plant (NPP) operations and maintenance holds significant potential to enhance safety, operational efficiency, and reliability. However, deploying such AI‐driven automation technologies in high‐consequence settings requires a rigorous, traceable, and ...
Muhammad Hammad Khalid +3 more
wiley +1 more source
Homomorphic Encryption for Confidential Statistical Computation: Feasibility and Challenges
Journal of Cybersecurity and PrivacyStatistical confidentiality focuses on protecting data to preserve its analytical value while preventing identity exposure, ensuring privacy and security in any system handling sensitive information.
Yesem Kurt Peker, Rahul Raj
doaj +1 more source
Безопасность информационных технологий, 2017 The processing of queries to an encrypted database without its decryption has been actively investigated recently by both cryptographers and database researchers.
Filipp B. Burtyka
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Multi‐omics–driven precision medicine
iMeta, Volume 5, Issue 5, October 2026.Multi‐omics‐driven precision medicine (MODPM) provides a multiscale, continuously learnable framework that integrates genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome profiles, and clinical data. Powered by artificial intelligence and foundation models, MODPM enables cross‐modal representation learning, contextual modeling ...
Huibo Li +20 more
wiley +1 more source
Fully homomorphic encryption over the integers [PDF]
, 2010 We describe a very simple “somewhat homomorphic” encryption scheme using only elemen-tary modular arithmetic, and use Gentry’s techniques to convert it into a fully homomorphic scheme.
Marten van Dijk +3 more
core +2 more sources
Future Internet, 2019 IoT systems consist of Hardware/Software systems (e.g., sensors) that are embedded in a physical world, networked and that interact with complex software platforms.
Johannes Kölsch +3 more
doaj +1 more source