activity
20232026
most citedArchitectural Vision for Quantum Computing in the Edge-Cloud Continuum

27 citations · 58 across the 8 of their papers we have counts for

collaborators

10 papers

cs.NI2026

Clear-Weighted Bit Allocation for Satellite Downlinks

Alireza Furutanpey, Qiyang Zhang, Yujie Huang +2

Earth-observation satellites capture more imagery than intermittent ground contacts can transmit. Onboard systems threshold a cloud detector, discard frames or tiles, and compress…

cs.AI2025

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

Boris Sedlak, Alireza Furutanpey, Zihang Wang +2

Edge computing breaks with traditional autoscaling due to strict resource constraints, thus, motivating more flexible scaling behaviors using multiple elasticity dimensions. This w…

cs.DC2025

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

Alireza Furutanpey, Carmen Walser, Philipp Raith +2

This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimizatio…

cs.LG2024

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

Alireza Furutanpey, Pantelis A. Frangoudis, Patrik Szabo +1

This paper investigates the adversarial robustness of Deep Neural Networks (DNNs) using Information Bottleneck (IB) objectives for task-oriented communication systems. We empirical…

cs.DC2024

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget

Ivan Čilić, Anna Lackinger, Pantelis Frangoudis +4

Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with inte…

cs.LG2024

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning

Anastasiya Danilenka, Alireza Furutanpey, Victor Casamayor Pujol +5

Handling heterogeneity and unpredictability are two core problems in pervasive computing. The challenge is to seamlessly integrate devices with varying computational resources in a…