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)

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)

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)

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)

Čilić, I., Jukanović, V., Podnar Zarko, I., Frangoudis, P., & Dustdar, S. (2024). QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum. In R. 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, Javid Taheri, K. V. Subramaniam, F. Awaysheh, K. El Maghaouri, & Y. Wang (Eds.), 2024 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 67–73). IEEE. https://doi.org/10.1109/EDGE62653.2024.00018 ( reposiTUm)

Holzer, S., Frangoudis, P., Tsigkanos, C., & Dustdar, S. (2024). SMT-as-a-Service for Fog-Supported Cyber-Physical Systems. In ICDCN ’24: Proceedings of the 25th International Conference on Distributed Computing and Networking (pp. 154–163). ACM. https://doi.org/10.1145/3631461.3631562 ( 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)

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)

Govori, E., Murturi, I., & Dustdar, S. (2023). A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices. 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.), Proceedings 2023 IEEE International Conference on Edge Computing and Communications (EDGE) (pp. 271–279). IEEE. https://doi.org/10.1109/EDGE60047.2023.00049 ( 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)

Frangoudis, P., & Murturi, I. (2024, February 28). Distributed Computing Continuum Systems: Emerging approaches for intelligent, self-adaptive and secure operation [Presentation]. Tutorial at the University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia. ( reposiTUm)

Frangoudis, P. (2024, February 26). SMTaaS: Serving problem solving workloads over the computing continuum [Presentation]. IEEE Croatia Section, University of Zagreb, Zagreb, Croatia. ( reposiTUm)

Nastic, S. (2024, September 17). Computing paradigms for the next-generation computing landscapes [Keynote Presentation]. 2nd AIoTwin Summer School 2024, Dubrovnik, Croatia. ( reposiTUm)

Sedlak, B. (2024, September 16). Operating distributed computing continuum systems through active inference [Presentation]. 2nd AIoTwin Summer School 2024, Dubrovnik, Croatia. http://hdl.handle.net/20.500.12708/204956 ( reposiTUm)

Frangoudis, P. (2023, September 5). Orchestration Aspects in Distributed Computing Continuum Systems [Presentation]. Tutorials of the AIoTwin 1st Summer School, Sibenik, Croatia. http://hdl.handle.net/20.500.12708/189588 ( reposiTUm)

Pusztai, T. W. (2023, September 6). FTUW SLO management framework [Presentation]. Hands-on Workshops of the AIoTwin 1st Summer School 2023, Sibenik, Croatia. ( 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)

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)

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)

Čilić, I., Jukanović, V., Podnar Zarko, I., Frangoudis, P., & Dustdar, S. (2024). QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum. arXiv. https://doi.org/10.34726/8802 ( reposiTUm)

Čilić, I., Lackinger, A., Frangoudis, P., Podnar Žarko, I., Furutanpey, A., Murturi, I., & Dustdar, S. (2024). Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget. arXiv. https://doi.org/10.34726/8682 ( 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)

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)