Robotics & Machine Learning Daily News2024,Issue(Aug.19) :21-22.

Xinjiang University Researcher Publishes New Study Findings on Machine Learning (A Fair Contribution Measurement Method for Federated Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :21-22.

Xinjiang University Researcher Publishes New Study Findings on Machine Learning (A Fair Contribution Measurement Method for Federated Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews reporting originating from U rumqi, People’s Republic of China, by NewsRx correspondents, researchstated, “F ederated learning is an effective approach for preserving data privacy and secur ity, enablingmachine learning to occur in a distributed environment and promoti ng its development. However, anurgent problem that needs to be addressed is how to encourage active client participation in federatedlearning.”

Key words

Xinjiang University/Urumqi/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/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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