Robotics & Machine Learning Daily News2024,Issue(Jul.3) :132-133.

New Machine Learning Study Findings Have Been Reported by Researchers at Beijing Institute of Technology (Tiflcs-marp: Client Selection and Model Pricing for Fe derated Learning In Data Markets)

北京理工大学的研究人员报告了新的机器学习研究结果(tiflcs-marp:数据市场中Fe减额学习的客户选择和模型定价)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :132-133.

New Machine Learning Study Findings Have Been Reported by Researchers at Beijing Institute of Technology (Tiflcs-marp: Client Selection and Model Pricing for Fe derated Learning In Data Markets)

北京理工大学的研究人员报告了新的机器学习研究结果(tiflcs-marp:数据市场中Fe减额学习的客户选择和模型定价)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。据《中国人民日报》记者在北京的新闻报道称,“近年来,地下数据市场的数据交换量激增,在增强机器学习的预测和决策能力方面发挥了关键作用。尽管取得了这些进步,围绕数据隐私的持续担忧导致了数据共享和交易的严格限制。”本研究的资金来源包括国家重点研发计划、国家自然科学基金(NSFC)、辽宁省现代化人才计划、河北省自然科学基金。

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 from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “In recent years, the bur geoning data market has witnessed a surge in data exchange, playing a pivotal ro le in augmenting the predictive and decision -making capabilities of machine lea rning. Despite these advancements, persistent concerns surrounding data privacy have resulted in stringent limitations on data sharing and trading.” Financial supporters for this research include National Key R&D Pro gram of China, National Natural Science Foundation of China (NSFC), LiaoNing Rev italization Talents Program, China, Natural Science Foundation of Hebei Province.

Key words

Beijing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Institute of Techno logy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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