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首页> 外文期刊>Robotics & Machine Learning Daily News >Findings in the Area of Machine Learning Reported from Chinese Academy of Sciences (Data Poisoning Attacks On Federated Machine Learning)
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Findings in the Area of Machine Learning Reported from Chinese Academy of Sciences (Data Poisoning Attacks On Federated Machine Learning)

机译:Findings in the Area of Machine Learning Reported from Chinese Academy of Sciences (Data Poisoning Attacks On Federated Machine Learning)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting out of Shenyang, People’s Republic of China, by NewsRx editors, research stated, “Federatedmachine learning which enables resource-constrained node devices (e.g., Internet of Things (IoT) devicesand smartphones) to establish a knowledge-shared model while keeping the raw data local, could provideprivacy preservation, and economic benefit by designing an effective communication protocol. However,this communication protocol can be adopted by attackers to launch data poisoning attacks for differentnodes, which has been shown as a big threat to most machine learning models.”
机译:机器人技术与新闻记者新闻编辑机器学习日常机器学习是研究的主题报告。沈阳、中华人民共和国、NewsRx编辑,研究表示,“联邦学习使资源受限的节点设备(例如,物联网(物联网)设备分享知识的模型,同时保持原始数据本地的,可以提供设计一个有效的经济效益通信协议。可以采用的通信协议攻击者发起数据中毒攻击不同的对大多数机器学习模型的威胁。”

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