US 2025/0371014 A1Published application

Processing a subset of a feature set to determine whether to process a query request on a local artificial intelligence engine or a remote artificial intelligence engine

AssigneeInternational Business Machines Corporation

InventorsOmri Soceanu, Pradip Bose, Subhankar Pal, Alper Buyuktosunoglu, Augusto Vega, Nir Drucker, Karthik V. Swaminathan, Hayim Shaul

Life of this patent

Estimating the term…

patentgrep

Loading patent…

Abstract

Provided are a computer program product, system, and method for processing a subset of a feature set to determine where to process a query. One of the following is performed: 1) in response to the determining to process the query at a first machine learning model, forwarding non-sensitive input data of the query to the first machine learning model to produce a first query result to return to an initiator of the query; and 2) in response to determining to process the query at a second machine learning model, forwarding sensitive input data and the non-sensitive input data to an encryption engine to encrypt to send to the second machine learning model; and receiving an encrypted second query result from the second machine learning model to decrypt to produce a second query result to return to the initiator of the query.

Claims20

Dependent claims

A computer program product for processing a query, the computer program product comprising at least one hardware device having program code embodied therein that when executed performs operations, the operations comprising:

determining whether to process the query at a first machine learning model or a second machine learning model, wherein the second machine learning model comprises a larger and more complex model than the first machine learning model;
and
performing one of the following:
1) in response to the determining to process the query at the first machine learning model, forwarding non-sensitive input data of the query to the first machine learning model to produce a first query result to return to an initiator of the query;
and 2) in response to determining to process the query at the second machine learning model, forwarding sensitive input data and the non-sensitive input data to an encryption engine to encrypt to send to the second machine learning model;
and receiving an encrypted second query result from the second machine learning model to decrypt to produce a second query result to return to the initiator of the query.

3 more elements

A system for processing a query, comprising:

at least one hardware device having program logic to perform operations, the operations comprising:
determining whether to process the query at a first machine learning model or a second machine learning model, wherein the second machine learning model comprises a larger and more complex model than the first machine learning model;
and
performing one of the following:
1) in response to the determining to process the query at the first machine learning model, forwarding non-sensitive input data of the query to the first machine learning model to produce a first query result to return to an initiator of the query;
and 2) in response to determining to process the query at the second machine learning model, forwarding sensitive input data and the non-sensitive input data to an encryption engine to encrypt to send to the second machine learning model;
and receiving an encrypted second query result from the second machine learning model to decrypt to produce a second query result to return to the initiator of the query.

4 more elements

A method for processing a query, comprising:

determining whether to process the query at a first machine learning model or a second machine learning model, wherein the second machine learning model comprises a larger and more complex model than the first machine learning model;
and
performing one of the following:
1) in response to the determining to process the query at the first machine learning model, forwarding non-sensitive input data of the query to the first machine learning model to produce a first query result to return to an initiator of the query;
and 2) in response to determining to process the query at the second machine learning model, forwarding sensitive input data and the non-sensitive input data to an encryption engine to encrypt to send to the second machine learning model;
and receiving an encrypted second query result from the second machine learning model to decrypt to produce a second query result to return to the initiator of the query.

3 more elements

Dependencies are inferred from the claim text.