18463446. COMMUNICATION METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
Contents
COMMUNICATION METHOD AND APPARATUS
Organization Name
Inventor(s)
COMMUNICATION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18463446 titled 'COMMUNICATION METHOD AND APPARATUS
Simplified Explanation
Abstract
The patent application describes a method and device for communication that improves the efficiency of federated learning. The method involves determining a modulation and coding scheme based on the importance of a local dataset of a communication apparatus. The communication apparatus then uploads information about a learning model based on this scheme, enhancing the process of federated learning.
Explanation
- A communication method and apparatus are provided for improving federated learning efficiency.
- The modulation and coding scheme used in the process of uploading a local training result is determined based on the importance of the local dataset.
- The first communication apparatus determines a modulation and coding scheme based on a first norm, representing the importance degree of its local dataset.
- Information about a first learning model is uploaded by the first communication apparatus using the determined modulation and coding scheme.
- This approach enhances the efficiency of federated learning by optimizing the modulation and coding scheme based on the importance of the local dataset.
Potential Applications
- Federated learning systems
- Communication devices and networks
- Machine learning and artificial intelligence technologies
Problems Solved
- Inefficiency in federated learning processes
- Suboptimal modulation and coding schemes in communication systems
- Lack of consideration for the importance of local datasets in federated learning
Benefits
- Improved efficiency of federated learning
- Enhanced communication performance in uploading local training results
- Optimal modulation and coding schemes based on the importance of local datasets
Original Abstract Submitted
A communication method and apparatus are provided. A modulation and coding scheme is determined based on a first norm of a first communication apparatus, and the first communication apparatus uploads information about a first learning model based on the modulation and coding scheme. The first norm of the first communication apparatus represents an importance degree of a local dataset of the first communication apparatus. The modulation and coding scheme used in a process in which a local training result is uploaded is determined based on the first norm, so that efficiency of federated learning can be improved.
