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., Murturi, I., Donta, P. K., & Dustdar, S. (2024). A Privacy Enforcing Framework for Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing, 12(3), 852–863. https://doi.org/10.1109/TETC.2023.3315131 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Equilibrium in the computing continuum through active inference. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 160, 92–108. https://doi.org/10.1016/j.future.2024.05.056 ( reposiTUm)

Pinto, G., Donta, P. K., Dustdar, S., & Prazeres, C. (2024). A systematic review on privacy-aware IoT personal data stores. Sensors, 24(7), Article 2197. https://doi.org/10.3390/s24072197 ( reposiTUm)

Donta, P. K., Sedlak, B., Casamayor Pujol, V., & Dustdar, S. (2023). Governance and sustainability of distributed continuum systems: a big data approach. Journal Of Big Data, 10, Article 53. https://doi.org/10.1186/s40537-023-00737-0 ( reposiTUm)

Donta, P. K., Murturi, I., Casamayor Pujol, V., Sedlak, B., & Dustdar, S. (2023). Exploring the Potential of Distributed Computing Continuum Systems. Computers, 12(10), Article 198. https://doi.org/10.3390/computers12100198 ( reposiTUm)

Arcanjo Marcelino, C. K., & Nastic, S. (2025). Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum. In 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC) (pp. 53–62). IEEE. https://doi.org/10.1109/UCC63386.2024.00017 ( 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)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Active Inference on the Edge: A Design Study. In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (pp. 550–555). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10502828 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Diffusing High-level SLO in Microservice Pipelines. In 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE) (pp. 11–19). IEEE. https://doi.org/10.1109/SOSE62363.2024.00008 ( reposiTUm)

Marcelino, C., & Nastic, S. (2024). CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum. In SEC ’23: Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing (pp. 158–170). ACM. https://doi.org/10.1145/3583740.3626611 ( reposiTUm)

Pusztai, T. W., Arcanjo Marcelino, C. K., & Nastic, S. (2024). HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. In 2024 IEEE/ACM Symposium on Edge Computing (SEC) (pp. 265–278). IEEE. https://doi.org/10.1109/SEC62691.2024.00028 ( reposiTUm)

Casamayor Pujol, V., Sedlak, B., Xu, Y., Donta, P. K., & Dustdar, S. (2024). Invited Paper: DeepSLOs for the Computing Continuum. In I. Chatzigiannakis & V. Gramoli (Eds.), ApPLIED’24: Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems. ACM. https://doi.org/10.1145/3663338.3663681 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024). Markov Blanket Composition of SLOs. In R. N. Chang, C. K. Chang, J. Yang, Z. Jin, M. Sheng, J. Fan, K. Fletcher, Q. He, N. Atukorala, H. Wu, S. Wang, S. Deng, N. Desai, G. Pingali, J. Taheri, K. V. Subramaniam, F. Awaysheh, K. El Maghaouri, & Y. Wang (Eds.), 2024 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 128–138). IEEE. https://doi.org/10.1109/EDGE62653.2024.00025 ( reposiTUm)

Marcelino, C., Shahhoud, J., & Nastic, S. (2024). GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. In E. Peltonen, S. Hyrynsalmi, I. Wagner, J. Rellermeyer, & N. Mohan (Eds.), IoT ’24 : Proceedings of the 14th International Conference on the Internet of Things (pp. 56–64). ACM. https://doi.org/10.1145/3703790.3703797 ( 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)

Murturi, I., Donta, P. K., & Dustdar, S. (2023). CommunityAI: Towards Community-based Federated Learning. In Proceedings 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI) (pp. 141–149). IEEE. https://doi.org/10.1109/CogMI58952.2023.00029 ( reposiTUm)

Murturi, I., Donta, P. K., Casamayor Pujol, V., Morichetta, A., & Dustdar, S. (2023). Learning-Driven Zero Trust in Distributed Computing Continuum Systems. In 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (pp. 0044–0049). IEEE. https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361352 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. In F. Monti, S. Rinderle-Ma, A. Ruiz-Cortes, Z. Zheng, & M. Mecella (Eds.), SService-Oriented Computing ; 21st International Conference, ICSOC 2023, Rome, Italy, November 28 – December 1, 2023, Proceedings, Part I / 2023 (pp. 42–50). Springer Cham. https://doi.org/10.1007/978-3-031-48421-6_4 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. In C. Ardagna, N. Atukorala, C. C. Chang, R. N. Chang, J. Fan, G. Fox, S. Helal, Z. Jin, Q. Lu, T. Seceleanu, & S. S. Yau (Eds.), Proceedings. 2023 IEEE International Conference on Software Services Engineering (IEEE SSE 2023) (pp. 43–49). IEEE. https://doi.org/10.1109/SSE60056.2023.00017 ( reposiTUm)

Donta, P. K., & Dustdar, S. (2023). Towards Intelligent Data Protocols for the Edge. In C. A. ARDAGNA, F. Awaysheh, H. Bian, C. K. Chang, R. N. Chang, F. Delicato, N. Desai, J. Fan, G. Fox, A. Goscinski, Z. Jin, A. Kobusinska, & O. Rana (Eds.), 2023 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 372–380). IEEE. https://doi.org/10.1109/EDGE60047.2023.00060 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., Werner, S., Wolf, K., Falconi, M., Pallas, F., Dustdar, S., Tai, S., & Plebani, P. (2023). Towards Serverless Data Exchange Within Federations. In M. Aiello, J. Barzen, S. Dustdar, & F. Leymann (Eds.), Service-Oriented Computing, 17th Symposium and Summer School, SummerSOC 2023 (pp. 144–153). Springer. https://doi.org/10.1007/978-3-031-45728-9_9 ( reposiTUm)

Donta, P. K., Hazra, A., & Lovén, L. (Eds.). (2024). Learning Techniques for the Internet of Things. Springer. https://doi.org/10.1007/978-3-031-50514-0 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2024, September 10). Intelligent Service Adaptations through Active Inference Agents [Poster Presentation]. Poster Session at the 5th International Workshop on Active Inference (IWAI 2024), Oxford, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/211007 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., Dustdar, S., Werner, S., Wolf, K., Pallas, F., Tai, S., Falconi, M., & Plebani, P. (2023, June 30). Towards Serverless Data Exchange Within Federations [Poster Presentation]. 17th Symposium and Summer School On Service-Oriented Computing (SummerSΟC 2023), Hersonissos, Greece. http://hdl.handle.net/20.500.12708/212574 ( reposiTUm)

Sedlak, B., Morichetta, A., Raith, P., Casamayor Pujol, V., & Dustdar, S. (2025). Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services. arXiv. https://doi.org/10.34726/9061 ( reposiTUm)

Pusztai, T., Arcanjo Marcelino, C. K., & Nastic, S. (2024). HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. arXiv. https://doi.org/10.34726/8462 ( reposiTUm)

Arcanjo Marcelino, C. K., & Nastic, S. (2024). Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum. arXiv. https://doi.org/10.34726/8460 ( 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)

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)

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)

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)

Arcanjo Marcelino, C. K., Shahhoud, J., & Nastic, S. (2024). GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum. arXiv. https://doi.org/10.34726/9719 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Designing Reconfigurable Intelligent Systems with Markov Blankets. arXiv. https://doi.org/10.34726/5943 ( reposiTUm)

Murturi, I., Donta, P. K., & Dustdar, S. (2023). CommunityAI: Towards Community-based Federated Learning. arXiv. https://doi.org/10.48550/arXiv.2311.17958 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Active Inference on the Edge : A Design Study. arXiv. https://doi.org/10.34726/5939 ( reposiTUm)

Murturi, I., Donta, P. K., Casamayor Pujol, V., Morichetta, A., & Dustdar, S. (2023). Learning-driven Zero Trust in Distributed Computing Continuum Systems. arXiv. https://doi.org/10.48550/arXiv.2311.17447 ( reposiTUm)

Bicer, C., Murturi, I., Donta, P. K., & Dustdar, S. (2023). Blockchain-based Zero Trust on the Edge. arXiv. https://doi.org/10.34726/5941 ( reposiTUm)

Sedlak, B., Casamayor Pujol, V., Donta, P. K., & Dustdar, S. (2023). Equilibrium in the Computing Continuum through Active Inference. arXiv. https://doi.org/10.34726/5944 ( 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)