Robotics & Machine Learning Daily News2024,Issue(Nov.11) :64-64.

Data on Machine Learning Detailed by Researchers at UniversityRovira I Virgili (Federated Learning-based Natural Language Processing: a Systematic Literature R eview)

大学研究人员详细介绍的机器学习数据Rovira I Virgili(基于联邦学习的自然语言处理:系统文献综述)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :64-64.

Data on Machine Learning Detailed by Researchers at UniversityRovira I Virgili (Federated Learning-based Natural Language Processing: a Systematic Literature R eview)

大学研究人员详细介绍的机器学习数据Rovira I Virgili(基于联邦学习的自然语言处理:系统文献综述)

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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-调查人员讨论机器学习的新发现。根据新闻报道来自西班牙加泰罗尼亚的NewsRx J Ournalists的研究表明,“联邦学习(FL)是一种分散的学习方式。”机器学习(ML)框架,允许在不共享参与者本地信息的情况下对模型进行训练数据。因此,FL比集中的机器学习更能保护隐私。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Catalonia, Spain, by NewsRx j ournalists, research stated, “Federated learning (FL) is a decentralizedmachine learning (ML) framework that allows models to be trained without sharing the pa rticipants’ localdata. FL thus preserves privacy better than centralized machin e learning.”

Key words

Catalonia/Spain/Europe/Cybersecurity/Cyborgs/Emerging Technologies/Machine Learning/Natural Language Processing/University Rovira I Virgili

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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