Hewlett-Packard Development Company, L.p.

Wagston Staehler

Craig Walrath

Diego Rahn Medaglia

Christian Perone

David Murphy

Juliano Vacaro

Alexandre Santos Da Silva, Jr

Thomas Da Silva Paula

Gabriel Rodrigo De Lima Paz

Liqun Chen

Boris Balacheff

James M Mann

Fraser John Dickin

Taciano Perez

Joao Edwardo Carrion

Joao Edurado Carrion

Taciano Dreckmann Perez

A method includes receiving, with a computing device, a first client request from a first client that identifies a machine learning model and a sensor. The method includes sending, with the computing device, a call to a server to apply the identified machine learning model to a set of data from the identified sensor, in response to the first client request. The method includes receiving, with the computing device, a second client request from a second client that identifies a same machine learning model and sensor as the first client request. The method includes sending, with the computing device, response data from the identified machine learning model to both the first client and the second client without sending an additional call to the server in response to the second client request.

Responding to machine learning requests from multiple clients

In some examples, securing data on a computing device includes one or more cryptographic operations on at least a portion of data stored in a memory module of the computing device in response to a change of operational state of the system from a first operational state to a second operational state.

Securing data

A method includes receiving, with a computing device, a configuration file and a client request to apply a machine learning model to a set of data from a sensor. The method includes performing, with the computing device, preprocessing on the set of data from the sensor based on the configuration file to generate preprocessed data. The method includes sending, with the computing device, a call to a model server to apply the machine learning model to the preprocessed data.

Preprocessing sensor data for machine learning

Examples of a system and method for securing data on a computing device are described herein. One or more cryptographic operations are executed on at least a portion of data stored in a memory module of the computing device in response to a change of operational state of the system from a first operational state to a second operational state.

An example non-transitory computer-readable medium includes instructions that, when executed by a processor, cause the processor to receive a request for data. The instructions also cause the processor to determine a region containing the data based on the metadata. The instructions cause the processor to traverse a tree in the metadata to determine key generation information relating a decryption key for the region to a root key.

Key generation information trees

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Porto Alegre, Brazil

Wagston Staehler