Halima Bouzidi

Orcid: 0000-0002-1885-6080

According to our database1, Halima Bouzidi authored at least 13 papers between 2020 and 2024.

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

2024
Efficient Deployment of Deep Neural Networks on Hardware Devices for Edge AI. (Déploiement efficace des réseaux de neurones profonds sur les dispositifs matériels pour l'IA en Edge).
PhD thesis, 2024

Model for Peanuts: Hijacking ML Models without Training Access is Possible.
CoRR, 2024

SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search.
CoRR, 2024

2023
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment.
ACM Trans. Embed. Comput. Syst., October, 2023

Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing.
CoRR, 2023

HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Performance Modeling of Computer Vision-based CNN on Edge GPUs.
ACM Trans. Embed. Comput. Syst., September, 2022

Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU.
Proceedings of the Optimization and Learning - 5th International Conference, 2022

Co-Optimization of DNN and Hardware Configurations on Edge GPUs.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
Performance prediction for convolutional neural networks on edge GPUs.
Proceedings of the CF '21: Computing Frontiers Conference, 2021

2020
Performance Prediction for Convolutional Neural Networks in Edge Devices.
CoRR, 2020


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