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Privacy-Preserving Parallel Non-Negative Matrix Factorization with Edge Computing

  • Computers, materials & continua/Computers, materials & continua (Print)
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Abstract

Non-negative Matrix Factorization (NMF) is a computationally intensive matrix operation that resource-constrained clients struggle to complete locally. Privacy-preserving outsourcing allows clients to offload heavy computing ... | Find, read and cite all the research you need on Tech Science Press

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DOI
10.32604/cmc.2026.076731
OpenAlex
W7130336104
Document type
article
Language
EN
Source
Computers, materials & continua/Computers, materials & continua (Print)
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