A Serverless Computing Fabric for Edge & Cloud. - Stefan Nastic; Philipp Raith; Alireza Furutanpey; Thomas W. Pusztai; Schahram Dustdar (CogMI, 2022)

An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques. - Philipp Raith; Thomas Rausch; Paul Prüller; Alireza Furutanpey; Schahram Dustdar (IC2E, 2022)

Adaptive and Collaborative Inference: Towards a No-compromise Framework for Distributed Intelligent Systems. - Alireza Furutanpey; Schahram Dustdar (WEBIST, 2022)

Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. - Alireza Furutanpey; Johanna Barzen; Marvin Bechtold; Schahram Dustdar; Frank Leymann; Philipp Raith; Felix Truger (QSW, 2023)

FrankenSplit: Saliency Guided Neural Feature Compression with Shallow Variational Bottleneck Injection. - Alireza Furutanpey; Philipp Raith; Schahram Dustdar (CoRR, 2023)

faas-sim: A trace-driven simulation framework for serverless edge computing platforms. - Philipp Raith; Thomas Rausch; Alireza Furutanpey; Schahram Dustdar (Softw. Pract. Exp., 2023)

Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT. - Alexander Keusch; Thomas Blumauer-Hiessl; Alireza Furutanpey; Daniel Schall 001; Schahram Dustdar (WEBIST, 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)

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning. - Anastasiya Danilenka; Alireza Furutanpey; Victor Casamayor-Pujol; Boris Sedlak; Anna Lackinger; Maria Ganzha; Marcin Paprzycki; 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)

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication. - Alireza Furutanpey; Pantelis A. Frangoudis; Patrik Szabo; Schahram Dustdar (CoRR, 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., 2024)

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems. - Alireza Furutanpey; Carmen Walser; Philipp Raith; Pantelis A. Frangoudis; Schahram Dustdar (CoRR, 2025)

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods. - Boris Sedlak; Alireza Furutanpey; Zihang Wang; Victor Casamayor-Pujol; Schahram Dustdar (CoRR, 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., 2025)