Robotics & Machine Learning Daily News2024,Issue(Dec.4) :106-106.

Studies from La Trobe University in the Area of Computational Intelligence Repor ted (Enhancing Accuracy-privacy Trade-off In Differentially Private Split Learni ng)

拉特罗布大学在计算智能领域的研究报告(提高差异私人分裂学习中的准确性-隐私权衡)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :106-106.

Studies from La Trobe University in the Area of Computational Intelligence Repor ted (Enhancing Accuracy-privacy Trade-off In Differentially Private Split Learni ng)

拉特罗布大学在计算智能领域的研究报告(提高差异私人分裂学习中的准确性-隐私权衡)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据-计算智能已经呈现。根据来自澳大利亚墨尔本的新闻,NewsRx记者,研究表明,“拆分学习g(SL)旨在通过在clientserver之间分发深度模型来保护用户数据隐私以及在本地保存私人数据。只能从客户端在SL过程中连接到服务器。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news originating from Melbourne, Australia, by NewsRx correspondents, research stated,“Split learnin g (SL) aims to protect user data privacy by distributing deep models between the clientserverand keeping private data locally. Only processed or ‘smashed’ dat a can be transmitted from theclients to the server during the SL process.”

Key words

Melbourne/Australia/Australia and New Zealand/Computational Intelligence/Machine Learning/La Trobe University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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