18069988. MITIGATING MISINFORMING ROGUE ACTORS IN PERCEPTIVE WIRELESS COMMUNICATIONS simplified abstract (QUALCOMM Incorporated)
Contents
MITIGATING MISINFORMING ROGUE ACTORS IN PERCEPTIVE WIRELESS COMMUNICATIONS
Organization Name
Inventor(s)
Himaja Kesavareddigari of Bridgewater NJ (US)
Kapil Gulati of Belle Mead NJ (US)
Hong Cheng of Basking Ridge NJ (US)
Qing Li of Princeton Junction NJ (US)
Kyle Chi Guan of New York NY (US)
Mahmoud Ashour of San Diego CA (US)
MITIGATING MISINFORMING ROGUE ACTORS IN PERCEPTIVE WIRELESS COMMUNICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18069988 titled 'MITIGATING MISINFORMING ROGUE ACTORS IN PERCEPTIVE WIRELESS COMMUNICATIONS
The abstract describes an apparatus that can receive indications from a network entity regarding the categorization of data elements transmitted by a wireless device as misinformation, and the temporary exclusion of such data from propagation for machine learning procedures based on this categorization. The apparatus can also receive criteria for requesting a reevaluation of the categorization and transmit data elements meeting these criteria to the network entity at a later time.
- The apparatus is designed to handle data categorization and exclusion processes in machine learning procedures.
- It can receive feedback on data elements classified as misinformation and take action based on this feedback.
- The apparatus facilitates the reevaluation of data categorization by meeting specific criteria.
- It enables the transmission of data elements for reevaluation based on predefined criteria.
- The apparatus enhances the accuracy and reliability of data used in machine learning procedures.
Potential Applications: - Enhancing the accuracy of machine learning models by filtering out misinformation. - Improving the quality of data used for training machine learning algorithms. - Streamlining the reevaluation process for data categorization in machine learning applications.
Problems Solved: - Addressing the challenge of misinformation in data used for machine learning. - Providing a mechanism for reevaluating data categorization based on specific criteria.
Benefits: - Increased accuracy and reliability of machine learning models. - Enhanced data quality for improved algorithm performance. - Streamlined processes for handling data categorization feedback.
Commercial Applications: Title: Data Categorization and Exclusion Apparatus for Machine Learning Optimization This technology can be utilized in various industries such as: - E-commerce for improving product recommendations. - Healthcare for enhancing diagnostic algorithms. - Finance for fraud detection systems.
Questions about the technology: 1. How does the apparatus determine which data elements are categorized as misinformation? 2. What criteria are considered for requesting a reevaluation of data categorization?
Original Abstract Submitted
An apparatus may be a UE configured to receive, from a network entity associated with a machine learning procedure, a first indication that a first set of data elements transmitted by the wireless device at a first time is categorized as misinformation and that, based on the categorization of the first set of data elements as misinformation, the network entity will temporarily exclude data from the wireless device from propagation as input for a subsequent machine learning procedure. The apparatus may further be configured to receive a second indication of a set of criteria for requesting a reevaluation of the categorization and transmit, based on meeting one or more criteria in the set of criteria, a second set of data elements to the network entity at a second time.
