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ORCIDMehdi Ghasemi 0003
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Mehdi Ghasemi — disambiguation page
- Mehdi Ghasemi 0001
![[0000-0001-7791-3092]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7791-3092")
(aka: Mahdi Ghasemi 0001) — Islamic Azad University, Qazvin, Iran - Mehdi Ghasemi 0002 — University of Saskatchewan, Saskatoon, Canada
- Mehdi Ghasemi 0004 (aka: Mehdi Keshavarz Ghasemi) — Shahrekord University, Shahrekord, Iran
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Journal Articles
- 2022
[j2]Soroush Heidari, Mehdi Ghasemi, Young Geun Kim, Carole-Jean Wu, Sarma B. K. Vrudhula:
CAMDNN: Content-Aware Mapping of a Network of Deep Neural Networks on Edge MPSoCs. IEEE Trans. Computers 71(12): 3191-3202 (2022)- [j1]Mehdi Ghasemi, Daler N. Rakhmatov, Carole-Jean Wu, Sarma B. K. Vrudhula:
EdgeWise: Energy-efficient CNN Computation on Edge Devices under Stochastic Communication Delays. ACM Trans. Embed. Comput. Syst. 21(5): 66:1-66:27 (2022)
Conference and Workshop Papers
- 2024
- [c4]Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu:
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. MLSys 2024 - 2021
- [c3]Mehdi Ghasemi, Soroush Heidari, Young Geun Kim, Aaron Lamb, Carole-Jean Wu, Sarma B. K. Vrudhula:
Energy-Efficient Mapping for a Network of DNN Models at the Edge. SMARTCOMP 2021: 25-30 - 2020
- [c2]Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CVPR Workshops 2020: 1591-1599 - 2019
- [c1]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. HPEC 2019: 1-7
Informal and Other Publications
- 2024
- [i3]Gyudong Kim, Mehdi Ghasemi, Soroush Heidari, Seungryong Kim, Young Geun Kim, Sarma B. K. Vrudhula, Carole-Jean Wu:
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning. CoRR abs/2403.04207 (2024) - 2020
- [i2]Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CoRR abs/2004.05746 (2020) - 2019
- [i1]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. CoRR abs/1909.05653 (2019)
Coauthor Index
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