18247639. METHOD FOR IDENTIFYING POTENTIAL MACHINE LEARNING MODEL CANDIDATES TO COLLABORATE IN TELECOM NETWORKS simplified abstract (Telefonaktiebolaget LM Ericsson (PUBL))

From WikiPatents
Jump to navigation Jump to search

METHOD FOR IDENTIFYING POTENTIAL MACHINE LEARNING MODEL CANDIDATES TO COLLABORATE IN TELECOM NETWORKS

Organization Name

Telefonaktiebolaget LM Ericsson (PUBL)

Inventor(s)

Hasan Farooq of Santa Clara CA (US)

Julien Forgeat of San Jose CA (US)

Meral Shirazipour of Santa Clara CA (US)

Shruti Bothe of Santa Clara CA (US)

METHOD FOR IDENTIFYING POTENTIAL MACHINE LEARNING MODEL CANDIDATES TO COLLABORATE IN TELECOM NETWORKS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18247639 titled 'METHOD FOR IDENTIFYING POTENTIAL MACHINE LEARNING MODEL CANDIDATES TO COLLABORATE IN TELECOM NETWORKS

The abstract describes a method for a collaboration server to identify cells of a mobile network for machine learning collaboration. This involves managing features for each cell, determining clusters of cells based on similarity in feature vectors, and selecting cells within a cluster to collaborate for machine learning.

  • Collection of features for each cell in a mobile network
  • Generation of feature vectors for each cell
  • Clustering cells based on similarity in feature vectors
  • Sending cluster information to cells
  • Receiving cluster pre-check information from cells
  • Selecting cells within a cluster to collaborate for machine learning

Potential Applications: - Optimization of machine learning algorithms in mobile networks - Enhanced data analysis and prediction capabilities in cellular networks

Problems Solved: - Efficient collaboration for machine learning in mobile networks - Improved accuracy and performance of machine learning models in cellular environments

Benefits: - Enhanced network performance and efficiency - Improved predictive capabilities for network optimization - Streamlined collaboration process for machine learning tasks

Commercial Applications: Title: "Enhanced Machine Learning Collaboration in Mobile Networks" This technology can be utilized by telecommunications companies to optimize network performance, predict network behavior, and enhance overall efficiency in cellular operations. It can also be valuable for network equipment manufacturers and software developers looking to improve machine learning capabilities in mobile environments.

Prior Art: There may be prior art related to machine learning collaboration in cellular networks, particularly in the field of network optimization and predictive analytics. Researchers and industry experts in the telecommunications sector may have published relevant studies or patents in this area.

Frequently Updated Research: Researchers in the field of machine learning and telecommunications are constantly exploring new methods and technologies to improve network performance and efficiency. Stay updated on the latest advancements in machine learning collaboration in mobile networks to leverage cutting-edge solutions for network optimization.

Questions about Machine Learning Collaboration in Mobile Networks: 1. How does this method improve the efficiency of machine learning collaboration in cellular environments? 2. What are the key factors considered when selecting cells to collaborate for machine learning tasks?


Original Abstract Submitted

A method of a collaboration server for identifying cells of a mobile network for machine learning collaboration is provided. The mobile network includes a plurality of cells. The method includes managing collection of features for the plurality of cells to generate at least one feature vector for each of the plurality of cells, determining a cluster of cells within the plurality of cells based on similarity in feature vectors between at least two cells in the plurality of cells, sending cluster information to each cell of the cluster, receiving cluster pre-check information from each cell of the cluster, and determining a first cell and a second cell in the cluster to collaborate for machine learning based on the received pre-check information.

Retrieved from "http://wikipatents.org/index.php?title=18247639._METHOD_FOR_IDENTIFYING_POTENTIAL_MACHINE_LEARNING_MODEL_CANDIDATES_TO_COLLABORATE_IN_TELECOM_NETWORKS_simplified_abstract_(Telefonaktiebolaget_LM_Ericsson_(PUBL))&oldid=73674"