Sony patents system for sharing AI models across devices
Sony describes a method for managing how artificial intelligence models are trained on multiple devices without sharing raw data. The system sends a base model to various devices, lets them train it locally, and then collects the results to either swap models between devices or combine them into a single improved version.
In the filing’s own words
A system for managing an iterative federated learning process, comprising circuitry configured to distribute a first decoder to each of a plurality of client devices, each of the client devices is configured to perform a respective training process for the first decoder to generate a corresponding trained decoder, receive a plurality of trained decoders, each being received from a respective one of the plurality of client devices, and perform, responsive to a first condition defining an aggregation rate, a decoder exchange process or a decoder aggregation process using the plurality of trained decoders, wherein in response, distribute a respective one of the plurality of trained decoders to each client device, the respective one being different to the trained decoder, and in response to the decoder aggregation, distribute an aggregate decoder generated by that process to each of the plurality of client devices.
What exactly they claim (claim 1)
1. A system for managing an iterative federated learning process, the system comprising: distribution circuitry configured to distribute a first decoder to each of a plurality of client devices, wherein each of the client devices is configured to perform a respective training process for the first decoder to generate a corresponding trained decoder; reception circuitry configured to receive a plurality of trained decoders, each being received from a respective one of the plurality of client devices; and decoder management circuitry configured to perform, responsive to a first condition defining an aggregation rate, a decoder exchange process or a decoder aggregation process using the plurality of trained decoders, wherein: the distribution circuitry is configured, in response to the decoder exchange process being performed, to distribute a respective one of the plurality of trained decoders to each client device, the respective one being different to the trained decoder received from that client device, and the distribution circuitry is configured, in response to the decoder aggregation process being performed, to distribute an aggregate decoder generated by that process to each of the plurality of client devices.
Facts
- Company
- Sony (Sony Group Corporation)
- Official title
- FEDERATED LEARNING SYSTEM AND METHOD
- Publication number
- US20260301400A1
- Application number
- 19096021
- Filed
- Mar 31, 2025
- Published
- Oct 1, 2026
- Inventors
- 5
- Claims
- 16
Classified under
G06V 10/95 Physics & computingG06V 10/774 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.