Sony patents method to share AI model differences between devices
Sony describes a system where a device compares its own AI model with one from another device. It then sends only the differences between the two models to a central server for further training.
In the filing’s own words
Disclosed are a device, a method, and a system for machine learning. In some embodiments, an electronic device used for a first UE is disclosed. The electronic device comprises a processing circuit. The processing circuit is configured to: obtain a first artificial intelligence model trained by the first UE; receive a second artificial intelligence model trained by a second UE; determine a model difference between the second artificial intelligence model and the first artificial intelligence model; and send the model difference to a federated learning server.
What exactly they claim (claim 1)
1. An electronic device used for a first UE, the electronic device comprising: at least one processor; and at least one memory including computer program code, where the at least one memory and the computer program code are configured, with the at least one processor, to cause the electronic device to: obtain a first artificial intelligence model trained by the first UE; receive a second artificial intelligence model trained by a second UE; determine a model difference between the second artificial intelligence model and the first artificial intelligence model; and send the model difference to a federated learning server.
Facts
- Company
- Sony (Sony Group Corporation)
- Official title
- DEVICE, METHOD AND SYSTEM FOR MACHINE LEARNING
- Publication number
- US20260311051A1
- Application number
- 19481192
- Filed
- Jun 4, 2024
- Published
- Oct 8, 2026
- Inventors
- 4
- Claims
- 26
Classified under
G06N 20/00 Physics & computingMore from Sony 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.
