首页|Findings from University of St Andrews Provide New Insights into Machine Learnin g (Pipar: : Pipeline Parallelism for Collaborative Machine Learning)
Findings from University of St Andrews Provide New Insights into Machine Learnin g (Pipar: : Pipeline Parallelism for Collaborative Machine Learning)
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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 originating from St. Andrews, United Kingdom, by NewsRx correspondents, research stated, “Collaborative machine learn ing (CML) techniques, such as federated learning, have been proposed to train de ep learning models across multiple mobile devices and a server. CML techniques a re privacy-preserving as a local model that is trained on each device instead of the raw data from the device is shared with the server.” Financial support for this research came from Rakuten Mobile, Inc., Japan.
St. AndrewsUnited KingdomEuropeCyb orgsEmerging TechnologiesMachine LearningUniversity of St Andrews
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