Navidreza Asadi

According to our database, Navidreza Asadi authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

On-Demand Container Partitioning for Distributed ML.

Giovanni Bartolomeo, Navidreza Asadi, Wolfgang Kellerer, Jörg Ott, Nitinder Mohan

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Comparative Analysis Between Decentralized and Centralized Network Digital Twins of Kubernetes Clusters.

Razvan-Mihai Ursu, Navidreza Asadi, Johannes Zerwas, Leon Wong, Wolfgang Kellerer

Proceedings of the 11th IEEE International Conference on Network Softwarization, 2025

2024

Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices.

Navidreza Asadi, Maziar Goudarzi

IEEE Internet Things J., January, 2024

FullPack: Full Vector Utilization for Sub-Byte Quantized Matrix-Vector Multiplication on General Purpose CPUs.

Hossein Katebi, Navidreza Asadi, Maziar Goudarzi

IEEE Comput. Archit. Lett., 2024

2023

An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout.

Navidreza Asadi, Maziar Goudarzi

CoRR, 2023

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates.

Kaan Aykurt, Razvan-Mihai Ursu, Johannes Zerwas, Patrick Krämer, Navidreza Asadi, Leon Wong, Wolfgang Kellerer

Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors?

Razvan-Mihai Ursu, Johannes Zerwas, Patrick Krämer, Navidreza Asadi, Phil Rodgers, Leon Wong, Wolfgang Kellerer

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices.

Lars Wulfert, Navidreza Asadi, Wen-Yu Chung, Christian Wiede, Anton Grabmaier

Proceedings of the 4th International Workshop on Distributed Machine Learning, 2023

2022

FullPack: Full Vector Utilization for Sub-Byte Quantized Inference on General Purpose CPUs.

Hossein Katebi, Navidreza Asadi, Maziar Goudarzi

CoRR, 2022

KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin.

Johannes Zerwas, Patrick Krämer, Razvan-Mihai Ursu, Navidreza Asadi, Phil Rodgers, Leon Wong, Wolfgang Kellerer

Proceedings of the 13th International Conference on Network of the Future, 2022