Compressive learning with privacy guarantees
This work addresses the problem of learning from large collections of data with privacy guarantees. The compressive learning framework proposes to deal with the large scale of datasets by compressing them into a single vector of generalized random moments, called a sketch vector, from which the lear...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2022
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher |