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Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Fuentes, Miguel, Mullins, Brett, McKenna, Ryan, Miklau, Gerome, Sheldon, Daniel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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