Telefonaktiebolaget lm ericsson (publ) (20240346327). ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING simplified abstract
Contents
ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING
Organization Name
telefonaktiebolaget lm ericsson (publ)
Inventor(s)
Hatem Abou-zeid of Calgary (CA)
ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346327 titled 'ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING
Simplified Explanation:
The patent application describes a method, system, and apparatus involving an edge node that communicates with multiple wireless devices. The edge node receives signal vectors from these devices, updates a global model based on this data, and transmits the updated model back to the devices.
- Edge node communicates with multiple wireless devices
- Receives signal vectors from devices based on updated local models
- Updates a global model based on received signal vectors
- Transmits updated global model back to wireless devices
Key Features and Innovation:
- Communication interface receives signal vectors from wireless devices
- Processing circuitry updates global model based on received data
- Enables efficient communication and data processing between edge node and wireless devices
Potential Applications:
- Internet of Things (IoT) networks
- Smart home systems
- Industrial automation
Problems Solved:
- Efficient data processing and communication in wireless networks
- Updating global models based on data from multiple devices
Benefits:
- Improved network efficiency
- Enhanced data processing capabilities
- Real-time updates to global models
Commercial Applications:
- Telecom companies for network optimization
- Smart device manufacturers for improved connectivity
- Industrial companies for automation processes
Prior Art:
Prior research in wireless network optimization and data processing techniques may be relevant to this technology.
Frequently Updated Research:
Research on edge computing, wireless communication protocols, and machine learning algorithms may be relevant to advancements in this technology.
Questions about the Technology:
1. How does this technology improve data processing in wireless networks? 2. What are the potential implications of using global models in communication with wireless devices?
Original Abstract Submitted
a method, system and apparatus are disclosed. an edge node configured to communicate with a plurality of wireless devices (wds) is described. the edge node includes a communication interface configured to receive a plurality of signal vectors from the plurality of wds, where the plurality of signal vectors is based on a plurality of updated local models associated with the plurality of wds. the edge node also includes processing circuitry in communication with the communication interface, where the processing circuitry is configured to update a global model based at least on the plurality of signal vectors; and cause at least one transmission of the updated global model to the plurality of wds.
