article
Open access
Privacy-Preserving Parallel Non-Negative Matrix Factorization with Edge Computing
Research footprint
At a glance
- Citations
- 0
- References
- 0
- Comments
- 0
Paper overview
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
Record transparency
Publication details
- DOI
- 10.32604/cmc.2026.076731
- OpenAlex
- W7130336104
- Document type
- article
- Language
- EN
- Source
- Computers, materials & continua/Computers, materials & continua (Print)
- Last metadata update
Comments
Log in to join the discussion.