Methods, systems, articles of manufacture and apparatus to build privacy preserving models

At least one non-transitory machine readable storage medium comprising instructions that cause a processor to at least:

• generate a first modeling plan for client-side resources, the first modeling plan including (a) tokenized model parameters devoid of telemetry labels and (b) a transmission schedule for the client-side resources;
• transmit the first modeling plan to the client-side resources;
• search for a primary validation flag in response to retrieving client-side model parameters;
• in response to detecting the primary validation flag, perform a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, the secondary validation based on calculating a confidence metric corresponding to the server-side ground truth data set and determining that the confidence metric satisfies a validation threshold;
• authorize updating of a global model in response to results of the secondary validation satisfying the validation threshold;
• in response to the confidence metric not satisfying the validation threshold, prohibit updating the global model with the client-side model parameters;
• send a second modeling plan to the client-side resources in response to rejecting the client-side modeling parameters;
• and
• cause the client-side resources to execute the second modeling plan instead of the first modeling plan.

A method to update a global model, comprising:

• generating a first modeling plan for client-side resources, the first modeling plan including (a) tokenized model parameters devoid of telemetry labels and (b) a transmission schedule for the client-side resources;
• transmitting the first modeling plan to the client-side resources;
• searching for a primary validation flag in response to retrieving client-side model parameters;
• in response to detecting the primary validation flag, performing a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, the secondary validation based on calculating a confidence metric in view of the server-side ground truth data set;
• authorize updating of the global model in response to results of the secondary validation satisfying a validation threshold;
• in response to determining that the confidence metric does not satisfy a validation threshold prohibit updating the global model with the client-side model parameters;
• sending a second modeling plan to the client-side resources in response to rejecting the client-side modeling parameters;
• and
• causing the client-side resources to execute the second modeling plan instead of the first modeling plan.