Publications

Journal Publications

  1. D. Kreković, P. Krivić, I. Podnar Žarko, M. Kušek, D. Le-Phuoc. Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies, Internet of Things (Elsevier) ISSN: 2543-1536, doi 10.1016/j.iot.2025.101553, preprint: https://doi.org/10.48550/arXiv.2404.19492 
  2. B. Sedlak, I. Murturi, P. Kumar Donta, S.  Dustdar. A Privacy Enforcing Framework for Data Streams on the Edge. IEEE Transactions on Emerging Topics in Computing, 2023. https://zenodo.org/records/10658151
  3. P. Kumar Donta, I. Murturi, V. Casamayor Pujol, B. Sedlak, S. Dustdar. Exploring the Potential of Distributed Computing Continuum Systems, MDPI Computers, 2023. https://www.mdpi.com/2073-431X/12/10/198

Conference Publications

  1. D. Kreković, M. Kušek, I. Podnar Žarko, D. Le Phuoc (UNIZG-FER & TUB). Edge-Based Predictive Data Reduction for Smart Agriculture: A Lightweight Approach to Efficient IoT Communication, Proceedings of the IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), to appear, Osaka, Japan, December 3-5, 2025.  doi (preprint): https://arxiv.org/abs/2511.19103.  

  2. M. Has, T. Xiong, F. Abdesslem, M. Kušek (UNIZG-FER & RISE). WebAssembly on Resource-Constrained IoT Devices: Performance, Efficiency, and Portability, Proceedings of the International Conference on the Internet of Things (IoT) Workshops 2025 1(1), 29-35. Vienna, Austria, November 18-21, 2025. doi (open access): https://doi.org/10.34749/3061-1008.2025.5

  3. I. Čilić, A. P. Jukić, K. Vuknić, I. Podnar Žarko (UNIZG-FER). Orchestrating Hierarchical Federated Learning Pipelines with the AIoTwin Middleware, Proceedings of the International Conference on the Internet of Things (IoT) Workshops 2025 1(1), 61-63. Vienna, Austria, November 18-21, 2025. doi (open access): https://doi.org/10.34749/3061-1008.2025.10

  4. I. Kralj, L. Giaretta, G. Ježić, I. Podnar Žarko, Š. Girdzijauskas (UNIZG-FER & RISE). Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction2025 IEEE International Conference on Edge Computing and Communications (IEEE EDGE 2025), Helsinki, Finland, July 7-12 2025. doi (preprint): https://doi.org/10.48550/arXiv.2412.03188

  5. L. Gjurić, G. Ježić, I. Podnar Žarko, M. Kušek (UNIZG-FER). Enhancing EV Charging Management with Dynamic Pricing and Edge Intelligence. 10th International Conference on Smart and Sustainable Technologies (SpliTech 2025), Bol and Split, Croatia, June 16-20, 2025. doi (preprint): https://doi.org/10.5281/zenodo.15568922

  6. I. Čilić, A. Lackinger, P. A. Frangoudis, I. Podnar Žarko, A. Furutanpey, I. Murturi, S. Dustdar (UNIZG-FER & TUW). Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget, 2025 IEEE International Conference on Machine Learning for Communication and Networking, Barcelona, Spain, June 26-29, 2025, doi (preprint): 10.48550/arXiv.2412.03385

  7. A. Lackinger, P. Frangoudis, I. Čilić, A. Furutanpey, I. Murturi, I. Podnar Žarko and S. Dustdar (UNIZG-FER & TUW). "Inference Load-Aware Orchestration for Hierarchical Federated Learning," 2024 IEEE 49th Conference on Local Computer Networks (LCN), pp. 1-9, Normandy, France, 2024, doi (preprint): https://arxiv.org/abs/2407.16836
  8. I. Čilić, V. Jukanović, I.Podnar Žarko, P. Frangoudis, S. Dustdar (UNIZG-FER & TUW). QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum, IEEE International Conference on Edge Computing & Communications (EDGE 2024), 2024. https://arxiv.org/abs/2405.10788
  9. A. P. Jukić, A. Šelek, M. Seder, I.Podnar Žarko (UNIZG-FER). Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control, 9th International Conference on Smart and Sustainable Technologies (SpliTech 2024), 2024. https://arxiv.org/abs/2405.06473
  10. S. Holzer, P. Frangoudis, C. Tsigkanos, S. Dustdar (TUW). SMT-as-a-Service for Fog-Supported Cyber-Physical Systems, 25th International Conference on Distributed Computing and Networking (ICDCN '24), 2024. https://zenodo.org/records/10101313
  11. J. Guan, Q. Zhang, I. Murturi, P. Kumar Donta, S. Dustdar, S. Wang (TUW). Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams. IEEE International Conference on Communications (ICC), 2024. https://zenodo.org/records/10658238
  12. Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le-Phuoc (TUB). VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph, 21th Extended Semantic Web Conference (ESWC2024), 2024. https://arxiv.org/pdf/2309.13610
  13. N. Duong-Trung, D.-M.Nguyen, D. Le Phuoc (TUB). Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting, The 3rd International Workshop on Explainable and Interpretable Machine Learning (XI-ML), Krakow, Poland, 2023. https://arxiv.org/abs/2212.07771
  14. I. Murturi, P.Kumar Donta, V. Casamayor-Pujol, A. Morichetta, S. Dustdar (TUW). Learning-driven Zero Trust in Distributed Computing Continuum Systems, The 21st IEEE International Conference on Pervasive Intelligence and Computing (PICom 2023), Abu Dhabi, UEA, 2023. https://zenodo.org/records/10657927
  15. I. Murturi, P. Kumar Donta, S. Dustdar (TUW). CommunityAI: Towards Community-based Federated Learning, The Fifth IEEE International Conference on Cognitive Machine Intelligence (CogMI 2023), Atlanta, USA, 2023. https://zenodo.org/records/10658108
  16. A. Le-Tuan, D. Bowden, D. Le-Phuoc (TUB). Semantic Programming for Device-Edge-Cloud Continuum, CLOUD-EDGE CONTINUUM (CEC) WORKSHOP, 2023. https://arxiv.org/abs/2308.10555
  17. X. Guo, A.  Le-Tuan, D. Le-Phuoc (TUB). Building a P2P RDF Storage for Edge Devices. The IoT Conference, 2023. https://arxiv.org/abs/2309.09364
  18. C. Bicer, I. Murturi, P. Kumar Donta, S. Dustdar (TUW). Blockchain-based Zero Trust on the Edge, 10th Annual Conf. on Computational Science & Computational Intelligence (CSCI’23), 2023. https://zenodo.org/records/10658080
  19. E. Govori, I. Murturi, S. Dustdar (TUW). A Comprehensive Performance Evaluation of Procedural Geometry Workloads on Resource-Constrained Devices, 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023. https://zenodo.org/records/11242731