18752752. MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE simplified abstract (VIVO MOBILE COMMUNICATION CO., LTD.)
Contents
- 1 MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Model Training in Networks
- 1.13 Original Abstract Submitted
MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE
Organization Name
VIVO MOBILE COMMUNICATION CO., LTD.
Inventor(s)
MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18752752 titled 'MODEL TRAINING METHOD AND APPARATUS AND COMMUNICATION DEVICE
Simplified Explanation
The patent application describes a method for training models in a network, involving sending requests, receiving information, and performing training based on the data exchanged.
Key Features and Innovation
- Model training method in a network environment
- Federated model training process involving multiple network elements
- Exchange of information between network elements for model training
- Training based on intermediate data reported by network elements
Potential Applications
This technology can be applied in various fields such as:
- Machine learning
- Artificial intelligence
- Data analysis
- Network optimization
Problems Solved
The technology addresses the following problems:
- Efficient model training in a distributed network environment
- Collaboration between network elements for improved training results
- Streamlining the model training process
Benefits
The benefits of this technology include:
- Enhanced model training accuracy
- Faster training process
- Improved collaboration between network elements
- Optimized network performance
Commercial Applications
- This technology can be used in industries such as healthcare, finance, and telecommunications for improving data analysis and decision-making processes.
Prior Art
Readers can explore prior art related to federated model training processes in the fields of machine learning and network optimization.
Frequently Updated Research
Stay updated on the latest research in federated model training processes and network optimization for cutting-edge advancements in the field.
Questions about Model Training in Networks
How does federated model training improve model accuracy in a network environment?
Federated model training allows multiple network elements to collaborate and share data, leading to more accurate models due to the diverse input sources.
What are the key challenges in implementing federated model training across different network elements?
Challenges may include data privacy concerns, communication latency, and synchronization issues between network elements.
Original Abstract Submitted
A model training method and apparatus and a communication device are provided. The model training method includes: sending, by a first network element, a federated model training request message to at least one second network element when performing a federated model training process corresponding to a model training task. The at least one second network element is a network element participating in the federated model training process. The model training method further includes receiving, by the first network elements, first information sent by the at least one second network element. The model training method also includes performing, by the first network element, model training based on the first model training intermediate data reported by the at least one second network element to obtain a target model or second model training intermediate data.
