18514066. DATA TRANSMISSION METHOD AND RELATED APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
DATA TRANSMISSION METHOD AND RELATED APPARATUS
Organization Name
Inventor(s)
Gongzheng Zhang of Hangzhou (CN)
Rong Li of Boulogne Billancourt (FR)
DATA TRANSMISSION METHOD AND RELATED APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18514066 titled 'DATA TRANSMISSION METHOD AND RELATED APPARATUS
Simplified Explanation
The abstract describes a patent application where machine learning models are deployed in communication apparatuses to facilitate data transmission and feedback between them.
- Machine learning models deployed in communication apparatuses
- First information obtained indicating transmission resources for data exchange
- First communication apparatus transmits output to second communication apparatus
- First feedback data received by first communication apparatus for updating machine learning model
- First gradient included in feedback data for model update
Potential Applications
This technology can be applied in various fields such as telecommunications, data analysis, and artificial intelligence research.
Problems Solved
This technology solves the problem of optimizing data transmission and feedback processes between communication devices using machine learning models.
Benefits
The benefits of this technology include improved efficiency in data exchange, enhanced model training through feedback, and overall better performance of communication systems.
Potential Commercial Applications
Optimizing Data Transmission and Feedback Processes in Communication Devices for Enhanced Performance
Original Abstract Submitted
A first machine learning model is deployed in a first communication apparatus, and a second machine learning model is deployed in a second communication apparatus. First information is obtained that carries indication information of both a first transmission resource and a second transmission resource, wherein the first transmission resource is for the first communication apparatus to transmit a first output of the first machine learning model to the second communication apparatus, and wherein the second transmission resource is for the first communication apparatus to receive first feedback data that is from the second communication apparatus. The first feedback data includes a first gradient, wherein the first gradient is for updating the first machine learning model. The first communication apparatus transmits the first output to the second communication apparatus on the first transmission resource.
