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Alireza Furutanpey
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2020 – today
- 2024
- [i4]Alireza Furutanpey, Qiyang Zhang, Philipp Raith, Tobias Pfandzelter, Shangguang Wang, Schahram Dustdar:
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression. CoRR abs/2403.16677 (2024) - [i3]Anna Lackinger, Pantelis A. Frangoudis, Ivan Cilic, Alireza Furutanpey, Ilir Murturi, Ivana Podnar Zarko, Schahram Dustdar:
Inference Load-Aware Orchestration for Hierarchical Federated Learning. CoRR abs/2407.16836 (2024) - 2023
- [j1]Philipp Raith, Thomas Rausch, Alireza Furutanpey, Schahram Dustdar:
faas-sim: A trace-driven simulation framework for serverless edge computing platforms. Softw. Pract. Exp. 53(12): 2327-2361 (2023) - [c4]Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, Schahram Dustdar, Frank Leymann, Philipp Raith, Felix Truger:
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. QSW 2023: 88-103 - [i2]Alireza Furutanpey, Philipp Raith, Schahram Dustdar:
FrankenSplit: Saliency Guided Neural Feature Compression with Shallow Variational Bottleneck Injection. CoRR abs/2302.10681 (2023) - [i1]Alireza Furutanpey, Johanna Barzen, Marvin Bechtold, Schahram Dustdar, Frank Leymann, Philipp Raith, Felix Truger:
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum. CoRR abs/2305.05238 (2023) - 2022
- [c3]Stefan Nastic, Philipp Raith, Alireza Furutanpey, Thomas W. Pusztai, Schahram Dustdar:
A Serverless Computing Fabric for Edge & Cloud. CogMI 2022: 1-12 - [c2]Philipp Raith, Thomas Rausch, Paul Prüller, Alireza Furutanpey, Schahram Dustdar:
An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques. IC2E 2022: 22-28 - [c1]Alireza Furutanpey, Schahram Dustdar:
Adaptive and Collaborative Inference: Towards a No-compromise Framework for Distributed Intelligent Systems. WEBIST 2022: 144-151
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last updated on 2024-10-07 22:21 CEST by the dblp team
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