17888435. MACHINE LEARNING FRAMEWORK FOR WIRELESS LOCAL AREA NETWORKS (WLANs) simplified abstract (QUALCOMM Incorporated)

MACHINE LEARNING FRAMEWORK FOR WIRELESS LOCAL AREA NETWORKS (WLANs)

Organization Name

QUALCOMM Incorporated

Inventor(s)

Gaurang Naik of San Diego CA (US)

Sai Yiu Duncan Ho of San Diego CA (US)

Yanjun Sun of San Diego CA (US)

George Cherian of San Diego CA (US)

Abhishek Pramod Patil of San Diego CA (US)

Alfred Asterjadhi of San Diego CA (US)

Abdel Karim Ajami of Lakeside CA (US)

MACHINE LEARNING FRAMEWORK FOR WIRELESS LOCAL AREA NETWORKS (WLANs) - A simplified explanation of the abstract

This abstract first appeared for US patent application 17888435 titled 'MACHINE LEARNING FRAMEWORK FOR WIRELESS LOCAL AREA NETWORKS (WLANs)

Simplified Explanation

The patent application describes an apparatus with memory and processors that can communicate machine learning capabilities and models between wireless devices.

• The processors can transmit a message indicating the machine learning capability of a wireless device.
• The processors can receive a message indicating the machine learning capability of another wireless device.
• The apparatus can communicate information associated with a machine learning model between the two wireless devices based on their capabilities.
• The processors can communicate with the other wireless device using the machine learning model.

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1. 1. 1. Potential Applications

• Collaborative machine learning between wireless devices
• Sharing of machine learning models for improved performance

1. 1. 1. Problems Solved

• Facilitates communication and collaboration between wireless devices for machine learning tasks
• Enables sharing of machine learning models efficiently

1. 1. 1. Benefits

• Enhanced machine learning capabilities through collaboration
• Improved performance and efficiency in machine learning tasks

Original Abstract Submitted

An apparatus has a memory and one or more processors coupled to the memory. The processor(s) is configured to transmit a first message indicating a first machine learning capability of the first wireless device. The processor(s) is also configured to receive, from a second wireless device, a second message indicating a second machine learning capability of the second wireless device. The processor(s) is further configured to communicate information associated with a machine learning model for use between the first wireless device and the second wireless device based at least in part on the second machine learning capability and the first machine learning capability. The processor(s) is also configured to communicate with the second wireless device based at least in part on the machine learning model.