Basics of Federated Learning: Tips and Tricks
Alibabaei, Khadijeh
1
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
11 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
Abstract:
Federated Learning in Machine Learning is a method that facilitates multiple peers to collaboratively learn a common prediction model by exchanging model weights while keeping the sensitive data on the local devices. In this presentation, we talk about the concept of the FL and some challenges and methods.
| Zugehörige Institution(en) am KIT | Scientific Computing Center (SCC) |
| Publikationstyp | Vortrag |
| Publikationsdatum | 22.04.2024 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000171798 |
| HGF-Programm | 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups |
| Veranstaltung | AI4EOSC Webinar: Introduction to Federated Learning (2024), Online, 22.04.2024 – 23.04.2024 |
| Projektinformation | AI4EOSC (EU, EU 9. RP, 101058593) |