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application homomorphic crypto edge computing

Applications of Homomorphic Encryption to Edge computing

07 June 2021, 13:20

Rickard Brännvall at ICE has received an NGI-Explorer, Next Generation Internet, grant. The proposed work together with Binghamton university concerns applications of Homomorphic Encryption to Edge computation.

Privacy concerns are recognized as one of the major obstacles for many Machine Learning (ML) applications: personal data about individuals may not be shared, or there can be business sensitive information that would provide market advantages to competitors if leaked. However, it is data that fuels the progress of AI, and a number of privacy preserving technologies have been proposed to address this problem.

Among these, Homomorphic Encryption provides very strong cryptographic guaranties and has advanced from theory to application in the last decade. It allows computation to be performed by a public key holder, while the original data and intermediate as well as final results can only be revealed by the private key holder.

Rickard is applying these techniques to the control and automation of edge datacenters operations.

Rickard Brännvall

Rickard Brännvall

Senior Forskare

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Tor Björn Minde

Tor Björn Minde

Enhetschef

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