Robotics & Machine Learning Daily News2024,Issue(Jul.3) :32-33.

Findings from Vienna University of Economics and Business Broaden Understanding of Machine Learning (Openfl: a Scalable and Secure Decentralized Federated Learn ing System On the Ethereum Blockchain)

维也纳经济与商业大学的发现拓宽了对机器学习的理解(Openfl:一个基于Ethereum区块链的可扩展和安全的分散式联邦学习系统)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :32-33.

Findings from Vienna University of Economics and Business Broaden Understanding of Machine Learning (Openfl: a Scalable and Secure Decentralized Federated Learn ing System On the Ethereum Blockchain)

维也纳经济与商业大学的发现拓宽了对机器学习的理解(Openfl:一个基于Ethereum区块链的可扩展和安全的分散式联邦学习系统)

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摘要

一位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-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx记者在奥地利维也纳的新闻报道,研究表明,“分散式联合学习(FL)提供了一种模式,独立实体协作训练机器学习模型,同时保护其数据集的隐私。将区块链技术整合到分散式FL框架中对于建立用户参与所必需的信任至关重要。”这项研究的财政支持来自ASPIRE虚拟研究研究所项目下的ASPIRE。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Vienna , Austria, by NewsRx journalists, research stated, “Decentralized Federated Lear ning (FL) offers a paradigm where independent entities collaboratively train a m achine learning model while preserving the privacy of their datasets. Integratin g blockchain technology into decentralized FL frameworks is critical to establis hing the trust necessary for user participation.” Financial support for this research came from ASPIRE under the ASPIRE Virtual Re search Institute Program.

Key words

Vienna/Austria/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Vienna University of Economics and Business

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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