CSG Data Science and Machine Learning presents

Training: Distributed- and Federated Learning

Date: 15.06.2023 (09.00 am - 01.00 pm); Format: online

Short abstract:

Today 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.

Language: English

Capacity: 300

Further information: Laptop and stable internet connection

Materials: (optional)(e.g. GIT-link)


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Information about CSG Data Science and Machine Learning

Contact person

Jonas Seng

TU Darmstadt