Robotics & Machine Learning Daily News2024,Issue(Nov.6) :174-178.

'Group Personalized Federated Learning' in Patent Application Approval Process ( USPTO 20240346376)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :174-178.

'Group Personalized Federated Learning' in Patent Application Approval Process ( USPTO 20240346376)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “With advances in mobile technologies, hosting a machine learning model entirely on-device may have important implications from a reliability, latency, and privacy perspective.Particularly, the privacy prese rving constraint may require user data to stay on their local devices.It is thu s challenging to perform model adaptation on user devices to address any mismatc h between server-side training data and actual data received on local devices.

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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