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Minoo Hosseinzadeh
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2020 – today
- 2022
- [c7]Minoo Hosseinzadeh, Nathaniel Hudson, Sam Heshmati, Hana Khamfroush:
Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm. CCNC 2022: 1-6 - [c6]Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush, Daniel E. Lucani:
QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. CCNC 2022: 319-325 - 2021
- [c5]Minoo Hosseinzadeh, Nathaniel Hudson, Xiaobo Zhao, Hana Khamfroush, Daniel E. Lucani:
Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. DySPAN 2021: 254-261 - [c4]Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush, Daniel E. Lucani:
Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems. ICC 2021: 1-6 - [c3]Nathaniel Hudson, Md. Jakir Hossain, Minoo Hosseinzadeh, Hana Khamfroush, Mahshid Rahnamay-Naeini, Nasir Ghani:
A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning. ICCCN 2021: 1-9 - 2020
- [c2]Xiaobo Zhao, Minoo Hosseinzadeh, Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani:
Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. GLOBECOM (Workshops) 2020: 1-6 - [c1]Adetola Adeniran, Md. Abul Hasnat, Minoo Hosseinzadeh, Hana Khamfroush, Mahshid Rahnamay-Naeini:
Edge Layer Design and Optimization for Smart Grids. SmartGridComm 2020: 1-6 - [i1]Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush, Daniel E. Lucani:
Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems. CoRR abs/2011.08381 (2020)
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