18266569. DEVICE AND METHOD FOR SIGNAL TRANSMISSION IN WIRELESS COMMUNICATION SYSTEM simplified abstract (LG ELECTRONICS INC.)
Contents
DEVICE AND METHOD FOR SIGNAL TRANSMISSION IN WIRELESS COMMUNICATION SYSTEM
Organization Name
Inventor(s)
DEVICE AND METHOD FOR SIGNAL TRANSMISSION IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18266569 titled 'DEVICE AND METHOD FOR SIGNAL TRANSMISSION IN WIRELESS COMMUNICATION SYSTEM
Simplified Explanation
The method described in the patent application involves operating a terminal using federated learning techniques.
- Receiving federated learning-related configuration information by the terminal
- Learning a local model based on the received configuration information
- Receiving a request for local model weights
- Transmitting a response message based on the weight request
- Receiving information associated with the total local model
- Transmitting a response message based on the received information
- Receiving resource allocation-related information
- Performing federated learning based on the received resource allocation-related information
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- Potential Applications
- This technology can be applied in various fields such as healthcare, finance, and retail for improving machine learning models while maintaining data privacy.
- Problems Solved
- This technology addresses the challenge of training machine learning models on decentralized data sources without compromising data privacy.
- Benefits
- Enhanced data privacy as the learning process is performed locally on the terminal
- Improved model accuracy by leveraging data from multiple sources
- Efficient resource allocation for federated learning tasks.
Original Abstract Submitted
Disclosed herein is a method of operating a terminal according to an embodiment, including: receiving, by the terminal, federated learning-related configuration information; learning, by the terminal, a local model based on the federated learning-related configuration information; receiving, by the terminal, a local model weight request message; transmitting a first response message based on the received weight request message; receiving information associated with a total local model based on the first response message; transmitting a second response message based on the received information associated with the total local model; receiving resource allocation-related information based on the second response message; and performing federated learning based on the received resource allocation-related information.
