Samsung patents method to update AI models between two user devices
Samsung has filed a patent for a way to personalize machine learning models across two devices. One device acts as a 'teacher' that receives data from a 'student' device, updates a copy of the model, and sends back only the changed parts.
In the filing’s own words
A method using a pair of user devices formed of a teacher user device and a student user device where the student device uses the ML model for a task is provided. A method performed by the teacher device may include receiving, from the student device of the pair of user devices, at least one captured data item and a request for a student machine learning model to be updated, where the student ML model is stored on the student device and is to be used by the student device. The method may include updating, using the received at least one captured data item, a subset of a plurality of parameters of a copy of the student machine learning model that is stored on the teacher device. The method may include transmitting the updated subset of parameters to the student device for updating the student ML model.
What exactly they claim (claim 1)
1. A computer-implemented method for personalization of a machine learning, ML, model using a pair of user devices formed of a teacher user device and a student user device where the student user device uses the ML model for a task, the method performed by the teacher user device comprising: receiving, from the student user device of the pair of user devices, at least one captured data item and a request for a student machine learning, ML, model to be updated, where the student ML model is stored on the student user device and is to be used by the student user device; updating, using the received at least one captured data item, a subset of a plurality of parameters of a copy of the student machine learning, ML, model that is stored on the teacher user device; and transmitting the updated subset of parameters to the student user device for updating the student ML model.
Facts
- Company
- Samsung (SAMSUNG ELECTRONICS CO., LTD.)
- Official title
- METHOD FOR EFFICIENT MACHINE LEARNING MODEL PERSONALIZATION
- Publication number
- US20260320497A1
- Application number
- 19692499
- Filed
- May 29, 2026
- Published
- Oct 15, 2026
- Inventors
- 3
- Claims
- 19
Classified under
G06N 20/00 Physics & computingMore from Samsung in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.