18486807. DISTRIBUTED LEARNING METHOD AND APPARATUS simplified abstract (Huawei Technologies Co., Ltd.)
Contents
DISTRIBUTED LEARNING METHOD AND APPARATUS
Organization Name
Inventor(s)
Gongzheng Zhang of Hangzhou (CN)
Rong Li of Boulogne Billancourt (FR)
DISTRIBUTED LEARNING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18486807 titled 'DISTRIBUTED LEARNING METHOD AND APPARATUS
Simplified Explanation
The patent application describes a method and apparatus for combining wireless communication with distributed learning to save resources and improve performance in a wireless environment.
- First node processes data using a data model to obtain intermediate data.
- First node sends intermediate data to a second node through a channel.
- Channel is updated based on error information of second intermediate data, information about the channel, and the first intermediate data.
- Second intermediate data is the result of transmitting the first intermediate data to the second node through the channel.
- The channel is between the first node and the second node.
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- Potential Applications
- Wireless communication systems
- Distributed learning systems
- Resource optimization in wireless networks
- Problems Solved
- Resource consumption in wireless communication
- Performance issues in distributed learning
- Channel optimization in wireless environments
- Benefits
- Improved performance in distributed learning
- Resource savings in wireless networks
- Enhanced communication efficiency
Original Abstract Submitted
A distributed learning method and apparatus for combining wireless communication with distributed learning to save resources, and improve performance of distributed learning in a wireless environment. A first node processes first data using a first data model to obtain first intermediate data. The first node sends the first intermediate data to a second node through a first channel. The first channel is updated based on error information of second intermediate data, information about the first channel, and the first intermediate data. The second intermediate data is a result of transmitting the first intermediate data to the second node through the first channel. The first channel is a channel between the first node and the second node.
