G. Schumann, J. Awick, und J. M. Gómez, „Natural Language Processing using Federated Learning: A Structured Literature Review“ in Proc. 2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), 2023
doi: 10.1109/AIBThings58340.2023.10292481
J. Awick, G. Schumann, J. M. Gómez, „Exploring Federated Learning for Data Integration: A Structured Literature Review“ in Proc. 2023 IEEE International Conference on Big Data, Knowledge and Control Systems Engineering (BdKCSE), 2023
doi: 10.1109/BdKCSE59280.2023.10339771
Angenommene Publikationen
S. Rudolph, G. Schumann, L. Steffens, M. Karl and J. Marx Gómez, „Highly scaled Federated Learning Simulations for Text Classification“, In: Proceedings of the 10th International Conference on Computer and Communication Systems 2025, Chengdu, China, IEEE, 2025
J. Awick, L. Steffens, M. Karl, J. M. Gómez „A Taxonomy for Evaluating Data Quality in Data Integration – Towards a Standardized Data Quality Management“, In: Proceedings of 2024 IEEE 26th Int Conf on High Performance Computing & Communications; 10th Int Conf on Data Science & Systems; 22nd Int Conf on Smart City; 10th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys). IEEE
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