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

  2. L. Gjurić, G. Ježić, I. Podnar Žarko, M. Kušek. 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. https://doi.org/10.5281/zenodo.15568922

  3. I. Čilić, A. Lackinger, P. A. Frangoudis, I. Podnar Žarko, A. Furutanpey, I. Murturi, S. Dustdar. 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: 10.48550/arXiv.2412.03385

  4. A. Lackinger, P. Frangoudis, I. Čilić, A. Furutanpey, I. Murturi, I. Podnar Žarko and S. Dustdar, "Inference Load-Aware Orchestration for Hierarchical Federated Learning," 2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France, 2024, pp. 1-9, https://arxiv.org/abs/2407.16836
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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