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