Reports on Machine Learning Findings from Beijing Jiaotong University Provide New Insights (Federated Learning-based Edge Computing for Automatic Train Operation In Communication-based Train Control Systems)

北京交通大学机器学习研究成果的报告提供了新的见解(基于联邦学习的边缘计算在基于通信的列车控制系统中的自动列车运行)

Robotics & Machine Learning Daily News2024，Issue(Jun.12) ：20-20.

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Reports on Machine Learning Findings from Beijing Jiaotong University Provide New Insights (Federated Learning-based Edge Computing for Automatic Train Operation In Communication-based Train Control Systems)

北京交通大学机器学习研究成果的报告提供了新的见解(基于联邦学习的边缘计算在基于通信的列车控制系统中的自动列车运行)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据NewsRx记者从中华人民共和国北京发回的新闻报道，研究表明：“列车自动运行(ATO)是列车自动控制(ATC)系统的关键组成部分，ATO自动调节列车速度，确保列车安全，增加城市铁路网的客运量。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting originating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Automatic train operation (ATO) is a critical component of automatic train control (ATC) systems. The ATO automatically adjusts the speed of trains, ensuring the safety of trains and increasing the passenger capacity of urban railway networks.”

Key words

Beijing/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Beijing Jiaotong University

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出版年

2024

Robotics & Machine Learning Daily News

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