Anna Lackinger

Projektass.in Dipl.-Ing.in / BSc

Role

PreDoc Researcher
Distributed Systems, E194-02

Contact

Publications

BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services / 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
Projects: AloTwin (2023–2025) / INTEND (2024–2026)
Time Series Prediction / Lackinger, A. (2025, June 17). Time Series Prediction [Presentation]. 3rd AIoTwin Summer School 2025, Split, Croatia.
Project: AloTwin (2023–2025)
Intent-to-Learning Translation for Computing Continuum Management / 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
Project: INTEND (2024–2026)
inCoord: Intent-based Coordination in the Multi-domain Cloud-Edge Continuum / 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
Project: INTEND (2024–2026)
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget / 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
Download: PDF (566 KB)
Project: AloTwin (2023–2025)
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms / 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
Download: PDF (1000 KB)
Project: INTEND (2024–2026)
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning / 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
Download: PDF (676 KB)
Projects: AloTwin (2023–2025) / INTEND (2024–2026) / TEADAL (2022–2025)
Inference Load-Aware Orchestration for Hierarchical Federated Learning / 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
Projects: AloTwin (2023–2025) / INTEND (2024–2026)
Inference Load-Aware Orchestration for Hierarchical Federated Learning / 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
Download: PDF (3.93 MB)
Projects: AloTwin (2023–2025) / INTEND (2024–2026)
RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms / 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
Project: INTEND (2024–2026)
Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies / 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
Project: INTEND (2024–2026)
Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation / 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
Projects: AloTwin (2023–2025) / INTEND (2024–2026)
Towards accurate Time series predictions for cloud workloads / Lackinger, A. (2023). Towards accurate Time series predictions for cloud workloads [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.115061
Download: PDF (2.82 MB)