Robotics & Machine Learning Daily News2024,Issue(Jul.9) :72-73.

Researchers from Beijing University of Posts and Telecommunications Report Detai ls of New Studies and Findings in the Area of Robotics (Safeguarding Privacy and Integrity of Federated Learning In Heterogeneous Cross-silo Iort Environments: a …)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :72-73.

Researchers from Beijing University of Posts and Telecommunications Report Detai ls of New Studies and Findings in the Area of Robotics (Safeguarding Privacy and Integrity of Federated Learning In Heterogeneous Cross-silo Iort Environments: a …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting originatingfrom Beijing, People’s Republi c of China, by NewsRx correspondents, research stated, “Bridging the gap between the Internet of Things and collaborative robots, the recent advancements in the Internet of RoboticThings (IoRT) aim at significantly improving production and operation efficiency and quality. As the scopeand complexity of IoRT continue to expand, involving also very large numbers of robots, there is a needfor empl oyment of innovative solutions such as federated learning.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Health and Medicine/Machine Learning/Nano-robot/Poi soning/Robotics/Beijing University of Posts and Telecommunications

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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