I am delighted to welcome this week’s guest, Kurt Rohloff. Kurt is the CTO and Co-Founder of Duality Technologies, a privacy tech company that enables organizations to leverage data across their ecosystem and generate joint insights for better business while preserving privacy. Kurt was also Co-Founder of the OpenFHE Homomorphic Encryption Software Library that enables practical and usable privacy and collaborative data analytics.
He's successfully led teams that are developing, transitioning, and applying first-in-the-world technology capabilities for both the Department of Defense as well as for commercial use. Kurt specializes in generating, developing, and commercializing innovative secure computing technologies with a focus on privacy and AI/ML at scale. In this episode, we discuss use cases for leveraging Fully Homomorphic Encryption (FHE) and other PETs.
In a previous episode, we spoke about federated learning; and in this episode, we learn how to achieve secure federated learning using fully homomorphic encryption (FHE) techniques.
Kurt has been focused on and supported homomorphic encryption since it was first discovered, including his involvement in one of the seminal projects, funded by DARPA, where he ran an implementation team, called PROCEED.
FHE, as opposed to other kinds of privacy technologies, is more general and malleable. As each organization has different needs when it comes to data collaboration, Duality Technologies offers three separate models for collaboration, which enable organizations to secure sensitive data while still allowing different types of sharing.
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