US Patent Application 18004868. DISTRIBUTED MACHINE LEARNING MODEL simplified abstract

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DISTRIBUTED MACHINE LEARNING MODEL

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Yotam Livny of Herzliya (IL)

Gilad Kirshenboim of Herzliya (IL)

Tal Aviv of Herzliya (IL)

DISTRIBUTED MACHINE LEARNING MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18004868 titled 'DISTRIBUTED MACHINE LEARNING MODEL

Simplified Explanation

The patent application describes a method for training machine learning models using distributed computer equipment.

  • The method involves obtaining an input data point consisting of a set of values representing different elements of an input feature vector.
  • The input data point is then used as input for a first machine learning model on the first computer equipment, which generates at least one output label based on the input data point.
  • A partial data point, containing only a subset of the feature vector values, is sent to a second computer equipment.
  • The associated label is also sent to the second computer equipment, along with the partial data point.
  • This causes the second computer equipment to train a second machine learning model based on the sent partial data and associated label.


Original Abstract Submitted

A method comprising, by first computer equipment: obtaining an input data point comprising a set of values, each being a value of a different element of an input feature vector; inputting the input data point to a first machine learning model on the first computer equipment to generate at least one associated output label based on the input data point; sending a partial data point to second computer equipment, the partial data point comprising the values of only part of the feature vector; and sending the associated label to the second computer equipment in association with the partial data point, thereby causing the second computer equipment to train a second machine learning model on the second computer equipment based on the sent part and the associated label.

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