Alireza Furutanpey

Orcid: 0000-0001-5621-7899

According to our database1, Alireza Furutanpey authored at least 15 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
FOOL: Addressing the Downlink Bottleneck in Satellite Computing With Neural Feature Compression.
IEEE Trans. Mob. Comput., August, 2025

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods.
CoRR, June, 2025

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems.
CoRR, April, 2025

2024
FrankenSplit: Efficient Neural Feature Compression With Shallow Variational Bottleneck Injection for Mobile Edge Computing.
IEEE Trans. Mob. Comput., December, 2024

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication.
CoRR, 2024

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget.
CoRR, 2024

Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning.
CoRR, 2024

Inference Load-Aware Orchestration for Hierarchical Federated Learning.
CoRR, 2024

Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT.
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.
Softw. Pract. Exp., December, 2023

FrankenSplit: Saliency Guided Neural Feature Compression with Shallow Variational Bottleneck Injection.
CoRR, 2023

Architectural Vision for Quantum Computing in the Edge-Cloud Continuum.
Proceedings of the IEEE International Conference on Quantum Software, 2023

2022
Adaptive and Collaborative Inference: Towards a No-compromise Framework for Distributed Intelligent Systems.
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.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022

A Serverless Computing Fabric for Edge & Cloud.
Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022


  Loading...