- title
- Practical Applications of Fed_LLM for Privacy- Preserving AI in Education
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-994951
- conference
- 27. Workshop GeNeMe‘24 Gemeinschaften in Neuen Medien. Dresden, 25. – 27.09.2024
- Source
- Gemeinschaften in Neuen Medien. Vertrauen in der Krise
Herausgeber: Prof. Dr. Thomas Köhler
Herausgeber: Prof. Dr. Eric Schoop
Herausgeber: Prof. Dr. Ralph Sonntag
Erscheinungsort: Dresden
Verlag: TUDpress
Erscheinungsjahr: 2024
Seiten: 25-32
ISBN: 978-3-95908-756-8 - publication_date
- 2024
- doi
- https://doi.org/10.25368/2025.337
- Abstract (EN)
- Digital Communication
- From the Introduction: The Fed_LLM framework integrates federated learning and large language models (LLMs) to create a cutting-edge educational system. This innovative approach optimizes learning experiences and ensures robust data privacy, making it an essential tool for modern education. Fed_LLM is practically applied and tested in educational settings, focusing on its products, concepts, and real-world implementation. In educational settings, the demand for personalized, efficient, and secure learning tools is at an all-time high (Hummel et al., 2023; Hummel & Donner, 2023; Bartok et al., 2023). Traditional educational systems often struggle to meet these needs (Egger & Hummel, 2020), especially when it comes to maintaining data privacy while providing tailored learning experiences. The Fed_LLM framework addresses these challenges by combining the decentralized nature of federated learning with the advanced capabilities of LLMs.
- Keywords (DE)
- Digitale Gemeinschaften, Digitale Partizipation und Governance, Vertrauen und Kommunikation, GeNeMe´24, Künstliche Intelligenz (KI), Datensicherheit
- Keywords (EN)
- Digital Communities, Digital Participation and Governance, Trust Development in Digital Media, Trust and Communication, GeNeMe´24, Artifiicial Intelligence (AI), data security
- Classification (DDC)
- 330
- Classification (RVK)
- QR 760
- Publishing house
- TUDpress, Dresden
- university_publisher
- Technische Universität Dresden, CIDS – Center for Interdisciplinary Digital Sciences
- Technische Universität Dresden, CODIP – Center for Open Digital Innovation and Participation
- Technische Universität Dresden, Fakultät Wirtschaftswissenschaften, Professur Wirtschaftsinformatik, insb. Informationsmanagement
- Hochschule Stralsund (HOST), Stralsund
- corporation_other
- Gesellschaft der Freunde und Förderer der TU Dresden e.V., Dresden
- Bildungsportal Sachsen GmbH, Chemnitz
- CampusM21 GmbH, München
- GWT – TUD Forschung und Innovation GmbH, Dresden
- Fachhochschule Dresden, Dresden
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-994951
- Qucosa date of publication
- 07.10.2025
- Document type
- in_proceeding
- Document language
- English
- licence
CC BY-NC-SA 4.0