Li, Y., Donta, P. K., Wang, X., Murturi, I., Huang, M., & Dustdar, S. (2025). KDN-FLB: Knowledge-Defined Networking Through Federated Learning and Blockchain. Computer, 58(5), 16–26. https://doi.org/10.1109/MC.2024.3471984 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Morichetta, A., Donta, P. K., & Dustdar, S. (2025). Adaptive stream processing on edge devices through active inference. Evolving Systems, 16(4), Article 130. https://doi.org/10.1007/s12530-025-09753-2 ( reposiTUm)

Li, Y., Wang, X., Zeng, R., Donta, P. K., Murturi, I., Huang, M., & Dustdar, S. (2025). Federated Domain Generalization: A Survey. Proceedings of the IEEE, 113(4), 370–410. https://doi.org/10.1109/JPROC.2025.3596173 ( reposiTUm)

Mayerhofer, R., Morichetta, A., Furutanpey, A., & Dustdar, S. (2025). HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning. In UCC ’25: Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing. 18th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2025), Nantes, France. ACM. https://doi.org/10.1145/3773274.3774274 ( reposiTUm)

Capova, C., Morichetta, A., Lackinger, A., & Dustdar, S. (2025). Intent-to-Learning Translation for Computing Continuum Management. In Proceedings of the IEEE 33rd International Conference on Network Protocols (IEEE ICNP 2025). 33rd IEEE International Conference on Network Protocols (IEEE ICNP 2025), Seoul, Korea (the Republic of). IEEE. https://doi.org/10.1109/ICNP65844.2025.11192441 ( reposiTUm)

Gajanin, R., Danilenka, A., Morichetta, A., & Nastic, S. (2025). Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition. In E. Peltonen, S. Hyrynsalmi, I. Wagner, J. S. Rellermeyer, & N. Mohan (Eds.), IoT ’24 : Proceedings of the 14th International Conference on the Internet of Things (pp. 38–46). ACM. https://doi.org/10.1145/3703790.3703795 ( reposiTUm)

Laso, S., Murturi, I., Frangoudis, P., Herrera, J. L., Murillo, J. M., & Dustdar, S. (2025). A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum. In Proceedings of the IEEE International Conference on Communications (ICC 2025) (pp. 1133–1138). IEEE. https://doi.org/10.1109/ICC52391.2025.11161512 ( reposiTUm)

Morichetta, A., Brenes, J., Kolobov, M., Dib, D., Metsch, T., Lackinger, A., Capova, C., Song, H., Dautov, R., Khalid, A., Akselsen, S., Munch-Ellingsen, A., & Dustdar, S. (2025). inCoord: Intent-based Coordination in the Multi-domain Cloud-Edge Continuum. In Proceedings of the IEEE 33rd International Conference on Network Protocols (ICNP 2025). Cloud-Edge Continuum (CEC) Workshop at the 33rd IEEE ICNP 2025, Seoul, Korea (the Republic of). IEEE. https://doi.org/10.1109/ICNP65844.2025.11192462 ( reposiTUm)

Sedlak, B., Morichetta, A., Wang, Y., Fei, Y., Wang, L., Dustdar, S., & Qu, X. (2025). SLO-Aware Task Offloading Within Collaborative Vehicle Platoons. In W. Gaaloul, M. Sheng, Q. Yu, & S. Yangui (Eds.), Service-Oriented Computing : 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3–6, 2024, Proceedings, Part II (pp. 72–86). Springer Singapore. https://doi.org/10.1007/978-981-96-0808-9_6 ( reposiTUm)

Lackinger, A., Morichetta, A., & Dustdar, S. (2024). Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 36–45). IEEE. https://doi.org/10.1109/SOSE62363.2024.00011 ( reposiTUm)

Morichetta, A., Lackinger, A., & Dustdar, S. (2024). Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 102–110). IEEE. https://doi.org/10.1109/SOSE62363.2024.00018 ( reposiTUm)

Loisel, F., Zeqo, G., Morichetta, A., Lackinger, A., & Dustdar, S. (2024). RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms. In C. W. Tan & T. H. Teo (Eds.), Proceedings of The 1st International Symposium on Parallel Computing and Distributed Systems (pp. 186–195). IEEE. https://doi.org/10.1109/PCDS61776.2024.10743766 ( reposiTUm)

Pinter, P., Morichetta, A., & Dustdar, S. (2024). Distributed Model Serving for Real-time Opinion Detection. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 64–73). IEEE. https://doi.org/10.1109/SOSE62363.2024.00014 ( reposiTUm)

Kaltenböck, D., Murturi, I., & Dustdar, S. (2024). A Zero Trust Single Sign-On Framework with Attribute-Based Access Control. In Proceedings : 2024 26th International Conference  on Business Informatics : CBI 2024 (pp. 149–157). IEEE. https://doi.org/10.1109/CBI62504.2024.00026 ( reposiTUm)

Peroutka, T., Murturi, I., Donta, P. K., & Dustdar, S. (2024). A Graph-based Approach to Human Activity Recognition. In 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI) (pp. 117–126). IEEE. https://doi.org/10.1109/CogMI62246.2024.00025 ( reposiTUm)

Guan, J., Zhang, Q., Murturi, I., Donta, P. K., Dustdar, S., & Wang, S. (2024). Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams. In M. Valenti, D. Reed, & M. Torres (Eds.), ICC 2024 - IEEE International Conference on Communications (pp. 3803–3808). IEEE. https://doi.org/10.1109/ICC51166.2024.10622590 ( reposiTUm)

Lackinger, A., Frangoudis, P. A., Cilic, I., Furutanpey, A., Murturi, I., Podnar Zarko, I., & Dustdar, S. (2024). Inference Load-Aware Orchestration for Hierarchical Federated Learning. In Proceedings of the 49th IEEE Conference on Local Computer Networks (LCN 2024). 49th IEEE Conference on Local Computer Networks (LCN 2024), Caen, France. IEEE. https://doi.org/10.1109/LCN60385.2024.10639809 ( reposiTUm)

Dautov, R., Song, H., Roman, D., Husom, E. J., Sen, S., Balionyte-Merle, V., Firmani, D., Leotta, F., Mathew, J. G., Rossi, J., Balzotti, L., Morichetta, A., Dustdar, S., Metsch, T., Frascolla, V., Khalid, A., Landi, G., Brenes, J., Toma, I., & Paulson, E. (2024). INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum. In A. Rula, E. Sallinger, O. Savkovic, I. Ciuciu, I. Toma, J. Xavier Parreira, R. Prodan, H. Song, & A. Soylu (Eds.), Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024). https://doi.org/10.34726/8579 ( reposiTUm)

Firmani, D., Leotta, F., Mathew, J. G., Rossi, J., Balzotti, L., Song, H., Roman, D., Dautov, R., Husom, E. J., Sen, S., Balionyte-Merle, V., Morichetta, A., Dustdar, S., Metsch, T., Frascolla, V., Khalid, A., Landi, G., BRENES, J., Toma, I., … Paulson, E. (2024). INTEND: Intent-Based Data Operation in the Computing Continuum. In R. Matulevicius & H. Proper (Eds.), Proceedings of the Research Projects Exhibition Papers at the 36th International Conference on Advanced Information Systems Engineering (CAiSE 2024) (pp. 43–50). http://hdl.handle.net/20.500.12708/199889 ( reposiTUm)

Morichetta, A. (2025, May 26). Trustworthy and Explainable Learning in Modern Distributed Applications [Keynote Presentation]. 2nd International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP/IEEE Networking 2025, Limassol, Cyprus. http://hdl.handle.net/20.500.12708/227082 ( reposiTUm)

Laso, S., Murturi, I., Frangoudis, P., Herrera, J. L., Murillo, J. M., & Dustdar, S. (2025). A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum. arXiv. https://doi.org/10.34726/9060 ( reposiTUm)

Lackinger, A., Morichetta, A., Frangoudis, P., & Dustdar, S. (2025). BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services. arXiv. https://doi.org/10.48550/arXiv.2511.08142 ( reposiTUm)

Popescu-Vifor, V., Murturi, I., Donta, P. K., & Dustdar, S. (2025). A Conflict-Aware Resource Management Framework for the Computing Continuum. arXiv. https://doi.org/10.48550/ARXIV.2512.12299 ( reposiTUm)

Spring, N., Morichetta, A., Sedlak, B., & Dustdar, S. (2025). MACH: Multi-Agent Coordination for RSU-centric Handovers. arXiv. https://doi.org/10.34726/10243 ( reposiTUm)

Sedlak, B., Morichetta, A., Wang, Y., Fei, Y., Wang, L., Dustdar, S., & Qu, X. (2024). SLO-Aware Task Offloading within Collaborative Vehicle Platoons. arXiv. https://doi.org/10.34726/8228 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Morichetta, A., Donta, P. K., & Dustdar, S. (2024). Adaptive Stream Processing on Edge Devices through Active Inference. arXiv. https://doi.org/10.34726/8227 ( reposiTUm)

Loisel, F., Zeqo, G., Morichetta, A., Lackinger, A., & Dustdar, S. (2024). RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms. arXiv. https://doi.org/10.34726/8680 ( reposiTUm)

Peroutka, T., Murturi, I., Donta, P. K., & Dustdar, S. (2024). A Graph-based Approach to Human Activity Recognition. arXiv. https://doi.org/10.34726/8225 ( reposiTUm)

Lackinger, A., Frangoudis, P., Cilic, I., Furutanpey, A., Murturi, I., Podnar Zarko, I., & Dustdar, S. (2024). Inference Load-Aware Orchestration for Hierarchical Federated Learning. arXiv. https://doi.org/10.34726/8212 ( reposiTUm)

Danilenka, A., Furutanpey, A., Casamayor Pujol, V., Sedlak, B., Lackinger, A., Ganzha, M., Paprzycki, M., & Dustdar, S. (2024). Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning. arXiv. https://doi.org/10.34726/8100 ( reposiTUm)

Gajanin, R., Danilenka, A., Morichetta, A., & Nastic, S. (2024). Towards adaptive asynchronous federated learning for human activity recognition. arXiv. https://doi.org/10.34726/9720 ( reposiTUm)

Li, Y., Wang, X., Zeng, R., Donta, P. K., Murturi, I., Huang, M., & Dustdar, S. (2023). Federated Domain Generalization: A Survey. arXiv. https://doi.org/10.34726/5945 ( reposiTUm)