Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study

Machine unlearning is the task of updating machine learning (ML) models after a subset of the training data they were trained on is deleted. Methods for the task are desired to combine <i>effectiveness</i> and <i>efficiency</i> (i.e., they should effectively “unlearn” deleted...

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Bibliographic Details
Main Authors: Ananth Mahadevan, Michael Mathioudakis
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Machine Learning and Knowledge Extraction
Subjects:
Online Access:https://www.mdpi.com/2504-4990/4/3/28