VERTICAL FEDERATED FOREST FOR DIVERSITY IN MACHINE LEARNING
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United States of America Patent
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Issued Date -
Feb 29, 2024
app pub date -
Aug 25, 2022
filing date -
Aug 25, 2022
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Abstract
One example method includes receiving a random forest classifier model that comprises a group of decision trees, wherein the random forest classifier model is created using a vertical federated framework, providing new observations, not included in a set of training observations, to a trained random forest classifier model, wherein the random forest classifier model is trained in the vertical federated framework, and wherein the training is performed using the set of training observations as input to the random forest classifier model, and generating, by the trained random forest classifier model, one or more diversity scores pertaining to the new observations.
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