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DTSTART;TZID=Europe/Berlin:20240606T090000
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DTSTAMP:20260425T183648
CREATED:20240405T124847Z
LAST-MODIFIED:20240523T073620Z
UID:6975-1717664400-1717678800@blog.rwth-aachen.de
SUMMARY:[:en]NHR4CES - Training: Distributed- and Federated Learning[:]
DESCRIPTION:Name: Training: Distributed- and Federated Learning \nDate: Date: June 6\, 09.00 am – 01.00 pm\, 2024 \nFormat: Online \nMore Information & Register \n  \n\n  \nDescription\nShort abstract: \nToday more data is gathered than ever before. This does not only hold for economic data\, but also for research-data. At the same time\, the need for ML-methods is higher than ever in research and other domains. Often the datasets used in ML-tasks are too big to be processed by a single work-station or even a single server. Distributed- and Federated Learning help to handle large datasets in a distributed way\, even with privacy-guarantees in the case of Federated Learning. This workshop will introduce methods of both\, Distributed Learning and Federated Learning by giving both\, a theoretical and practical view on these learning-frameworks.
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-training-distributed-and-federated-learning/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,NHR4CES Events,Wiederkehrend
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