Robotics & Machine Learning Daily News2024,Issue(Jun.14) :76-77.

Studies from University of Jinan Yield New Data on Machine Learning (Proof of Un learning: Definitions and Instantiation)

济南大学的研究产生了机器学习的新数据(Un Learning的证明:定义和实例化)

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :76-77.

Studies from University of Jinan Yield New Data on Machine Learning (Proof of Un learning: Definitions and Instantiation)

济南大学的研究产生了机器学习的新数据(Un Learning的证明:定义和实例化)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据NewsRx记者在中华人民共和国广州的新闻报道,研究表明,“机器学习(ML)实践中的‘被遗忘的权利’规则,正如最近开发的机器弃学习技术所追求的那样,可以从训练过的模型中删除一些个人数据。为了真正遵守该规则,自然和必要的步骤是验证个人数据在弃学习后是否确实被删除。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “The ‘Right to be Forgotten’ rule in machine learning (ML) practice enables some individual data to be deleted from a trained model, as pursued by recently developed machine unlearning techniques. To truly comply with the rule, a natural and necessary step is to verify if the individual data are indeed deleted after unlearning.”

Key words

Guangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Jinan

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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