Alireza Furutanpey

18 papers B 2C 2Misc 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 B conf
EdgeCloudForge: Simulation-Driven Synthetic Dataset Generation For Proactive Serverless Edge Function Autoscaling.
IC2E
Philipp Raith, Alireza Furutanpey, Nikola Lukic, Vijay Thurimella, Stefan Nastic
2025 J jnl
FOOL: Addressing the Downlink Bottleneck in Satellite Computing With Neural Feature Compression.
IEEE Trans. Mob. Comput.
Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar
2025 Misc conf
HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning.
UCC
Robin Mayerhofer, Andrea Morichetta, Alireza Furutanpey, Schahram Dustdar
2025 J jnl
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems.
CoRR
Alireza Furutanpey, Carmen Walser, Philipp Raith, Pantelis A. Frangoudis, Schahram Dustdar
2025 J jnl
Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods.
CoRR
Boris Sedlak, Alireza Furutanpey, Zihang Wang, Víctor Casamayor-Pujol, Schahram Dustdar
2024 J jnl
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning.
CoRR
Anastasiya Danilenka, Alireza Furutanpey, Víctor Casamayor-Pujol, Boris Sedlak, Anna Lackinger, Maria Ganzha, Marcin Paprzycki, Schahram Dustdar
2024 J jnl
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication.
CoRR
Alireza Furutanpey, Pantelis A. Frangoudis, Patrik Szabo, Schahram Dustdar
2024 J jnl
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression.
CoRR
Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar
2024 J jnl
FrankenSplit: Efficient Neural Feature Compression With Shallow Variational Bottleneck Injection for Mobile Edge Computing.
IEEE Trans. Mob. Comput.
Alireza Furutanpey, Philipp Raith, Schahram Dustdar
2024 J jnl
Inference Load-Aware Orchestration for Hierarchical Federated Learning.
CoRR
Anna Lackinger, Pantelis A. Frangoudis, Ivan Cilic, Alireza Furutanpey, Ilir Murturi, Ivana Podnar Zarko, Schahram Dustdar
2024 C conf
Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT.
WEBIST
Alexander Keusch, Thomas Blumauer-Hiessl, Alireza Furutanpey, Daniel Schall, Schahram Dustdar
2024 J jnl
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget.
CoRR
Ivan Cilic, Anna Lackinger, Pantelis A. Frangoudis, Ivana Podnar Zarko, Alireza Furutanpey, Ilir Murturi, Schahram Dustdar
2023 — conf
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum.
QSW
Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, Schahram Dustdar, Frank Leymann, Philipp Raith, Felix Truger
2023 J jnl
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum.
CoRR
Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, Schahram Dustdar, Frank Leymann, Philipp Raith, Felix Truger
2023 J jnl
FrankenSplit: Saliency Guided Neural Feature Compression with Shallow Variational Bottleneck Injection.
CoRR
Alireza Furutanpey, Philipp Raith, Schahram Dustdar
2022 — conf
A Serverless Computing Fabric for Edge & Cloud.
CogMI
Stefan Nastic, Philipp Raith, Alireza Furutanpey, Thomas W. Pusztai, Schahram Dustdar
2022 C conf
Adaptive and Collaborative Inference: Towards a No-compromise Framework for Distributed Intelligent Systems.
WEBIST
Alireza Furutanpey, Schahram Dustdar
2022 B conf
An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques.
IC2E
Philipp Raith, Thomas Rausch, Paul Prüller, Alireza Furutanpey, Schahram Dustdar