Navidreza Asadi

Orcid: 0000-0002-2155-1288

According to our database1, Navidreza Asadi authored at least 16 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
On-Demand Container Partitioning for Distributed ML.
Proceedings of the 2025 USENIX Annual Technical Conference, 2025

WaveSurfer - Scheduling Irregular Pulsing Attacks on Microservice Autoscaling.
Proceedings of the ACM SIGCOMM 2025 Posters and Demos, 2025

Challenges in Designing Robust RL-Based Autoscalers.
Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, 2025

Simurgh: Multi-Agent Adversarial Benchmarking for Proactive Microservice Observability.
NGNO@MM, 2025

Comparative Analysis Between Decentralized and Centralized Network Digital Twins of Kubernetes Clusters.
Proceedings of the 11th IEEE International Conference on Network Softwarization, 2025

Poster: Road to Tiny Reality: Digital Twins for Decentralized AI on Microcontrollers.
Proceedings of the 31st Annual International Conference on Mobile Computing and Networking, 2025

Gist - Optimizing Segmentation for Decentralized Federated Learning on Tiny Devices.
Proceedings of the Federated Learning and Edge AI for Privacy and Mobility, 2025

Enabling a Secure and Resilient Internet of Everything: A Multi-Layer Non-Cryptocurrency Blockchain Approach.
Proceedings of the 7th Conference on Blockchain Research & Applications for Innovative Networks and Services, 2025

2024
Variant Parallelism: Lightweight Deep Convolutional Models for Distributed Inference on IoT Devices.
IEEE Internet Things J., January, 2024

FullPack: Full Vector Utilization for Sub-Byte Quantized Matrix-Vector Multiplication on General Purpose CPUs.
IEEE Comput. Archit. Lett., 2024

2023
An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout.
CoRR, 2023

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates.
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?
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices.
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.
CoRR, 2022

KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin.
Proceedings of the 13th International Conference on Network of the Future, 2022


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