Kevin Schütz, BSc

Kevin Schütz


K. Schütz, C. Schütz, S. Jaburek:
Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts
In: Proceedings of the IEEE 2023 Congress on Evolutionary Computation (CEC 2023),Chicago, U.S.A., July 2-5, 2023, IEEE Press, 10 pages, 2023.
P. Feichtenschlager, K. Schütz, S. Jaburek, C. Schütz, E. Gringinger:
Privacy-Preserving Implementation of an Auction Mechanism for ATFM Slot Swapping
In: Proceedings of the 23rd Integrated Communications, Navigation and Surveillance Conference (ICNS 2023), Washington D.C., U.S.A., April 18-20, 2023, IEEE Press, 12 pages, 2023.
C. Schütz, T. Lorünser, S. Jaburek, K. Schütz, F. Wohner, R. Karl, E. Gringinger:
A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation
In: Proceedings of the International Conference on Cooperative Information Systems (CoopIS 2022), Bozen, Italy, October 4-7, 2022. Collocated with EDOC 2022. Editoren: Sellami, M., Ceravolo, P., Reijers, H.A., Gaaloul, W., Panetto, H., Springer Verlag, Lecture Notes in Computer Science (LNCS), Vol. 13591, DOI:, ISBN 978-3-031-17833-7, pp. 168-185, 2022.