Apple Inc.

Kalu Onuka Kalu

Sowmya Gopalan

Gaurav Kapoor

Vignesh Jagadeesh

Julien F Freudiger

Eric Circlaeys

Abhishek Bhowmick

Ryan M Rogers

Stephen Cosman

John Duchi

Guillaume Tartavel

Alexis Hugo Louis Durocher

Michael Chatzidakis

Thi Hai Van Do

Omid Javidbakht

Rehan Rishi

Mayank Yadav

Marcelo Lotif Araujo

Devices, methods, and non-transitory program storage devices (NPSDs) are disclosed herein to provide for the privacy-respectful learning of iconic scenes and places, wherein the learning is based on information received from one or more client devices in response to one or more collection criteria specified as part of one or more collection operations launched by a server device. In some embodiments, differential privacy techniques (such as the submission of predetermined amounts of noise-injecting, e.g., randomly-generated, data in conjunction with actual data) are employed by the client devices, such that any insights learned by the server device only relate to 'hot spots,' “themes,” or other scenes, objects, and/or topics that are highly popular and captured in the digital assets (DAs) of many users, ensuring there is no way for the server device to learn or glean any insights related to particular users of individual client devices participating in the collection operations.

Learning iconic scenes and places with privacy

Embodiments described herein provide for a non-transitory machine-readable medium storing instructions to cause one or more processors to receive, at a client device, a machine learning model from a server, detect a usage pattern for a content item, store an association between the content item and the detected usage pattern in local data, train the machine learning model using local data for the content item with the detected usage pattern to generate a trained machine learning model, generate an update for the machine learning model, privatize the update for the machine learning model, and transmit the privatized update for the machine learning model to the server.

User behavior model development with private federated learning

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Los Gatos, CA, United States of America

Kalu Onuka Kalu