CSG Data Science and Machine Learning presents
Training: Distributed- and Federated Learning
Date: June 6, 09.00 am - 01.00 pm, 2024; 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
Contact person
Jonas Seng
TU Darmstadt