Alireza Furutanpey

According to our database, Alireza Furutanpey authored at least 17 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FOOL: Addressing the Downlink Bottleneck in Satellite Computing With Neural Feature Compression.

Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar

IEEE Trans. Mob. Comput., August, 2025

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems.

Alireza Furutanpey, Carmen Walser, Philipp Raith, Pantelis A. Frangoudis, Schahram Dustdar

CoRR, April, 2025

HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning.

Robin Mayerhofer, Andrea Morichetta, Alireza Furutanpey, Schahram Dustdar

Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-Based Methods.

Boris Sedlak, Alireza Furutanpey, Zihang Wang, Víctor Casamayor-Pujol, Schahram Dustdar

Proceedings of the Active Inference - 6th International Workshop, 2025

EdgeCloudForge: Simulation-Driven Synthetic Dataset Generation For Proactive Serverless Edge Function Autoscaling.

Philipp Raith, Alireza Furutanpey, Nikola Lukic, Vijay Thurimella, Stefan Nastic

Proceedings of the IEEE International Conference on Cloud Engineering, 2025

2024

FrankenSplit: Efficient Neural Feature Compression With Shallow Variational Bottleneck Injection for Mobile Edge Computing.

Alireza Furutanpey, Philipp Raith, Schahram Dustdar

IEEE Trans. Mob. Comput., December, 2024

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication.

Alireza Furutanpey, Pantelis A. Frangoudis, Patrik Szabo, Schahram Dustdar

CoRR, 2024

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget.

Ivan Cilic, Anna Lackinger, Pantelis A. Frangoudis, Ivana Podnar Zarko, Alireza Furutanpey, Ilir Murturi, Schahram Dustdar

CoRR, 2024

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning.

Anastasiya Danilenka, Alireza Furutanpey, Víctor Casamayor-Pujol, Boris Sedlak, Anna Lackinger, Maria Ganzha, Marcin Paprzycki, Schahram Dustdar

CoRR, 2024

Inference Load-Aware Orchestration for Hierarchical Federated Learning.

Anna Lackinger, Pantelis A. Frangoudis, Ivan Cilic, Alireza Furutanpey, Ilir Murturi, Ivana Podnar Zarko, Schahram Dustdar

CoRR, 2024

Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT.

Alexander Keusch, Thomas Blumauer-Hiessl, Alireza Furutanpey, Daniel Schall, Schahram Dustdar

Proceedings of the 20th International Conference on Web Information Systems and Technologies, 2024

2023

<i>faas-sim</i>: A trace-driven simulation framework for serverless edge computing platforms.

Philipp Raith, Thomas Rausch, Alireza Furutanpey, Schahram Dustdar

Softw. Pract. Exp., December, 2023

FrankenSplit: Saliency Guided Neural Feature Compression with Shallow Variational Bottleneck Injection.

Alireza Furutanpey, Philipp Raith, Schahram Dustdar

CoRR, 2023

Architectural Vision for Quantum Computing in the Edge-Cloud Continuum.

Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, Schahram Dustdar, Frank Leymann, Philipp Raith, Felix Truger

Proceedings of the IEEE International Conference on Quantum Software, 2023

2022

Adaptive and Collaborative Inference: Towards a No-compromise Framework for Distributed Intelligent Systems.

Alireza Furutanpey, Schahram Dustdar

Proceedings of the 18th International Conference on Web Information Systems and Technologies, 2022

An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques.

Philipp Raith, Thomas Rausch, Paul Prüller, Alireza Furutanpey, Schahram Dustdar

Proceedings of the IEEE International Conference on Cloud Engineering, 2022

A Serverless Computing Fabric for Edge & Cloud.

Stefan Nastic, Philipp Raith, Alireza Furutanpey, Thomas W. Pusztai, Schahram Dustdar

Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022