An apparatus includes a processor to: perform a testing job flow at least partly within a
testing federated area to test a neural network defined by configuration data specifying …

PC.; Vazken Alexanian (57) ABSTRACT A method, system, and computer program product
for learn ing a recognition model for recognition processing. The method includes preparing …

Provided are methods and systems for performing a secure analytic over a data source. An
example method includes acquiring, by a client, an analytic, at least one analytic parameter …

Deep learning models have been applied for varied electrical applications in smart grids
with a high degree of reliability and accuracy. The development of deep learning models …

In one embodiment, a set of feature vectors can be derived from any biometric data, and
then using a deep neural network (“DNN”) on those one-way homomorphic encryp tions (ie …

A hardware implementations of Montgomery modular multiplication are described. The
number of components as well as the number of cycles may be reduced by using a lookup …

An apparatus includes a processor to: receive a request from a remote device to perform a
job flow; retrieve a job flow definition defining the job flow and each of a set of task routines …

An apparatus includes a processor to: train a first neural network of a chain to generate first
configuration data including first trained parameters, wherein the chain performs an …

Abstract Systems and methods that provide secure analytics using homomorphic and
injective format-preserving encryption and an encrypted analytics matrix are disclosed …

Systems and methods for end-to-end encryption and com pression are described herein. A
query is encrypted at a client using a homomorphic encryption scheme. The encrypted query …