Analytics Platform for Federated Private Data

A data analytics platform provides secure access to federated data for advanced analytics and machine learning. No raw data is exposed or moved outside its original location, thereby providing data privacy. A coordinator located in the provider cloud communicates with runners in each client data sil...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Adamowski, Marcin Andrzej, Bradshaw, Jason Michael, Ngo, Chi Lang, Gawron, Grzegorz, Makowski, Maciej, Stubbings, Philip, Gilmore, David
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A data analytics platform provides secure access to federated data for advanced analytics and machine learning. No raw data is exposed or moved outside its original location, thereby providing data privacy. A coordinator located in the provider cloud communicates with runners in each client data silo. The runners ensure that no raw private data is ever exposed to the coordinator. Silo managers are implemented in the client data silo in order to manage and maintain the client cloud components of the platform remotely. In some embodiments, the platform can anonymize verified models for privacy and compliance, and users can export and deploy secure models outside the original data location.