G. Schumann, J. Awick, and J. Marx Gómez. (2023). 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. P. Awick, G. Schumann, and J. Marx Gómez. (2023). 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
G., Schumann, G., and J. Marx Góme. (2024, September). Detection of conflicts, contradictions and inconsistencies in regulatory documents: a literature review. In 2024 Fifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA) (pp. 81-88). IEEE. doi: 10.1109/IDSTA62194.2024.10747003
J. P. Awick, L. Steffens, M. Karl, and J. Marx Gómez. (2024, December). A Taxonomy for Evaluating Data Quality in Data Integration-Towards a Standardized Data Quality Management. In 2024 IEEE International Conference on Data Science and Systems (DSS) (pp.15-25). IEEE.
J. P. Awick. (2025, April). Benchmarking Scalability and Effectiveness of Blocking Approaches for Entity Matching: A Comparative Analysis. In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) (pp. 512-521). IEEE. doi: 10.1109/ICCCBDA64898.2025.11030486
S. Rudolph, G. Schumann, L. Steffens, M. Karl and J. Marx Gómez (2025). 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. doi: 10.1109/ICCCS65393.2025.11069933
Angenommene Publikationen
G., Schumann, Contradictions and Inconsistencies in Regulatory Documents – A qualitative Assessment from Practice (2025). In 2025 15th International Conference on Advanced Computer Information Technologies (ACIT), IEEE.
C., Montag, G. Schumann, L. Steffens, M. Karl and J. M. Gómez, Decentralized Federated Learning using Transformer-based Language Models. In 2025 1st International Conference on Recent Advances in Information Systems (ICRAIS), Springer.
J. P. Awick, and J. Marx Gómez. Entity Matching in the Era of Language Models: A Structured Literature Review (2025). In 2025 25th International Conference on Control Systems and Computer Science (CSCS). IEEE.
J. Boekhoff, J. P. Awick, and J. Marx Gómez, (2025, September). A Comprehensive Comparison of Federated Learning Frameworks (2025). In 2025 1st International Conference on Recent Advances in Information Systems (ICRAIS), Springer.