18292178. ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING simplified abstract (Telefonaktiebolaget LM Ericsson (publ))
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 18292178 titled 'ONLINE OPTIMIZATION FOR JOINT COMPUTATION AND COMMUNICATION IN EDGE LEARNING
Simplified Explanation:
This 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 the devices, updates a global model based on this data, and transmits the updated model back to the devices.
- The edge node communicates with multiple wireless devices.
- It receives signal vectors from these devices.
- The global model is updated based on the received data.
- The updated global model is transmitted back to the wireless devices.
Key Features and Innovation:
- Edge node communication with multiple wireless devices.
- Reception of signal vectors from the devices.
- Updating a global model based on the received data.
- Transmission of the updated global model back to the devices.
Potential Applications:
This technology could be used in various IoT (Internet of Things) applications, smart home systems, industrial automation, and wireless sensor networks.
Problems Solved:
This technology addresses the need for efficient communication and data processing between edge nodes and multiple wireless devices.
Benefits:
- Improved data processing efficiency.
- Enhanced communication between edge nodes and wireless devices.
- Better management of global models in wireless networks.
Commercial Applications:
Title: "Wireless Communication and Data Processing System for IoT Applications"
This technology has potential commercial uses in IoT devices, smart home systems, industrial automation, and wireless sensor networks. It can improve data processing efficiency and communication in these applications, leading to better overall performance and user experience.
Prior Art:
Readers interested in prior art related to this technology could start by researching existing wireless communication protocols, edge computing systems, and IoT data processing methods.
Frequently Updated Research:
Researchers in the field of wireless communication, edge computing, and IoT technologies are constantly exploring new methods to improve data processing efficiency and communication in wireless networks. Stay updated on the latest research in these areas to understand the evolving landscape of this technology.
Questions about Wireless Communication and Data Processing System for IoT Applications:
1. What are the potential security implications of implementing this technology in IoT devices? 2. How does this technology compare to existing edge computing systems in terms of data processing efficiency and communication speed?
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.
