Robotics & Machine Learning Daily News2024,Issue(Nov.27) :60-61.

Researchers from Heinrich-Heine-University Dusseldorf Report Recent Findings in Machine Learning (Fair Swarm Learning: Improving Incentives for Collaboration By a Fair Reward Mechanism)

海因里希-海因-杜塞尔多夫大学的研究人员报告了机器学习的最新发现(公平群学习:通过公平奖励机制改善合作激励)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :60-61.

Researchers from Heinrich-Heine-University Dusseldorf Report Recent Findings in Machine Learning (Fair Swarm Learning: Improving Incentives for Collaboration By a Fair Reward Mechanism)

海因里希-海因-杜塞尔多夫大学的研究人员报告了机器学习的最新发现(公平群学习:通过公平奖励机制改善合作激励)

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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-机器学习的新数据在一份新的报告中呈现。据新闻报道NewsRx记者从德国杜塞尔多夫报道,研究称,“群学习”是一种新兴的协作机器学习技术,它由多个参与者组成学习模型而不分享私人数据。在标准的群网络中,网络中的所有节点无论他们的个人贡献如何,都会收到相同的最终模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Dusseldorf, Germany, by NewsRx correspondents, research stated, “Swarm learningis an emerg ing technique for collaborative machine learning in which several participants t rain machinelearning models without sharing private data. In a standard swarm n etwork, all the nodes in the networkreceive identical final models regardless o f their individual contributions.”

Key words

Dusseldorf/Germany/Europe/Cyborgs/Em erging Technologies/Machine Learning/Heinrich-Heine-University Dusseldorf

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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