Ma, C., Rutz, D., Balafoutis, A., Vaiopoulos, K., Vandorou, F., Kyriakarakos, G.
, Grøn Sørensen, C., Nørremark, M., Kristensen, E. F., Manolakos, D., Koutsouris, A., Kanaki, V., Paris, B., Papadakis, G., Borzecka, M., Wydra, M., Biševac, V., Vansintjan, D., Román, J. ... Hansen, A. G. (2023).
SUPPORTING BIOMASS USAGE AND PRODUCTION TO DECARBONIZE AGRICULTURE INDUSTRY: THE AGROFOSSILFREE PROJECT. In
31st European Biomass Conference and Exhibition: Proceedings (pp. 373 - 378)
Lucani Rötter, D. E., Kim, M., Zhao, F., Shi, X., Medard, M. & Montpetit, M.-J. (2013).
Network coding for multi-resolution multicast. (Patent No.
US8473998 (B1)).
https://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=8473998B1&KC=B1&FT=D&ND=3&date=20130625&DB=EPODOC&locale=en_EP#
Lucani Rötter, D. E., Fitzek, F. H. P., Medard, M. & Stojanovic, M. (2009).
Network Coding For Data Dissemination: It Is Not What You Know, But What Your Neighbors Don’t Know. In
Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on (pp. 407-414). IEEE.
https://doi.org/10.1109/WIOPT.2009.5291585
Lucani Rötter, D. E., Pedersen, M. V., Ruano, D., W. Sørensen, C., Fitzek, F. H. P., Heide, J., Geil, O., Nguyen, VU. & Reisslein, M. (2018).
Fulcrum: Flexible Network Coding for Heterogeneous Devices.
IEEE Access,
6, 77890-77910. Article 8554264.
https://doi.org/10.1109/ACCESS.2018.2884408
Liu, H., Yang, Y., Wu, Q., He, B., Liao, Y.
& Zhou, P. (2024).
FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning. In
2024 International Joint Conference on Neural Networks (IJCNN) IEEE.
https://doi.org/10.1109/IJCNN60899.2024.10649939
Liang, Y., Kortoçi, P.
, Zhou, P., Lee, L. H., Mehrabi, A., Hui, P., Tarkoma, S. & Crowcroft, J. (2022).
Federated split GANs for collaborative training with heterogeneous devices[Formula presented].
Software Impacts,
14, Article 100436.
https://doi.org/10.1016/j.simpa.2022.100436