Robotics & Machine Learning Daily News2024,Issue(Jul.26) :81-82.

Findings from Guangdong University of Science and Technology Provide New Insight s into Machine Learning (An Effective Federated@@Object Detection Framework with Dynamic Differential Privacy)

Robotics & Machine Learning Daily News2024,Issue(Jul.26) :81-82.

Findings from Guangdong University of Science and Technology Provide New Insight s into Machine Learning (An Effective Federated@@Object Detection Framework with Dynamic Differential Privacy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom Dongguan, People’s Republi c of China, by NewsRx correspondents, research stated, “The proliferationof dat a across multiple domains necessitates the adoption of machine learning models t hat respect userprivacy and data security, particularly in sensitive scenarios like surveillance and medical imaging. Federatedlearning (FL) offers a promisin g solution by decentralizing the learning process, allowing multiple participants to collaboratively train a model without sharing their data.”

Key words

Guangdong University of Science and Tech nology/Dongguan/People’s Republic of China/Asia/Cyborgs/Emerging Technologi es/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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