https://archives.christuniversity.in/files/original/e19869a653b51648471949ca7844ebea.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 202241057386, Application: Kapil Tiwari. The present invention applies to probabilistic inference employing secure multi-party computation (SMPC) methodologies including confidential training, inference, and model protection for vertically partitioned datasets. The proposed invention addresses privacy complexities of vertically partitioned data owners, model owners, and ML clients using confidential training, inference, and model protection (CoTraIn-VPD), a technique to boost data, model parameter, and client input privacy during ML inference without affecting accuracy or performance. Creator An entity primarily responsible for making the resource Shukla, Samiksha. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view" target="_blank" title="A system for confidential training and inference for vertically partitioned dataset using secure multi-party computation /" rel="noreferrer noopener">https://drive.google.com/file/d/1htzWt7TjxjOYvJqqOdMmCEh9s5aA5w07/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-23 Language A language of the resource English Type The nature or genre of the resource Patent