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K-Means clustering outsourcing scheme based on sparse matrix transformation and bounded random perturbation

open access: yesTongxin xuebao
To address the problem that existing secure outsourcing schemes for K-Means clustering incur high computational and communication overhead, making them difficult to satisfy the efficiency requirements of practical applications, a privacy-preserving K ...
Zhao Wei   +5 more
doaj  

KmerCrypt: private k-mer search with homomorphic encryption. [PDF]

open access: yesBrief Bioinform
Provatas K   +2 more
europepmc   +1 more source

Homomorphic encryption for privacy-preserving data aggregation in data spaces. [PDF]

open access: yesData Brief
Calvo G   +4 more
europepmc   +1 more source

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