Robotics & Machine Learning Daily News2024,Issue(Nov.26) :19-19.

New Findings from University of Western Macedonia Describe Advances in Machine L earning (Recent Advancements in Federated Learning: State of the Art, Fundamenta ls, Principles, IoT Applications and Future Trends)

西马其顿大学的新发现描述了机器学习的进展(联邦学习的最新进展:现状、基础、原理、物联网应用和未来趋势)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :19-19.

New Findings from University of Western Macedonia Describe Advances in Machine L earning (Recent Advancements in Federated Learning: State of the Art, Fundamenta ls, Principles, IoT Applications and Future Trends)

西马其顿大学的新发现描述了机器学习的进展(联邦学习的最新进展:现状、基础、原理、物联网应用和未来趋势)

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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-关于人工智能的详细数据已经呈现。据新闻报道由Ne wsRx通讯员发源于希腊科扎尼,研究称,“联邦学习(FL)是通过将模型训练的重点引导到数据的处理上,在机器学习中创建PAR ADIGM移位实际上存在。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Kozani, Greece, by Ne wsRx correspondents, research stated, “Federated learning (FL) iscreating a par adigm shift in machine learning by directing the focus of model training to wher e the dataactually exist.”

Key words

University of Western Macedonia/Kozani/Greece/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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