Improving the Accuracy-Latency Trade-off of Edge-Cloud Computation Offloading for Deep Learning Services. - Xiaobo Zhao; Minoo Hosseinzadeh; Nathaniel Hudson; Hana Khamfroush; Daniel E. Lucani (GLOBECOM (Workshops), 2020)

Edge Layer Design and Optimization for Smart Grids. - Adetola Adeniran; Md. Abul Hasnat; Minoo Hosseinzadeh; Hana Khamfroush; Mahshid Rahnamay-Naeini (SmartGridComm, 2020)

Joint Compression and Offloading Decisions for Deep Learning Services in 3-Tier Edge Systems. - Minoo Hosseinzadeh; Nathaniel Hudson; Xiaobo Zhao; Hana Khamfroush; Daniel E. Lucani (DySPAN, 2021)

Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems. - Minoo Hosseinzadeh; Andrew Wachal; Hana Khamfroush; Daniel E. Lucani (ICC, 2021)

A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning. - Nathaniel Hudson; Md. Jakir Hossain; Minoo Hosseinzadeh; Hana Khamfroush; Mahshid Rahnamay-Naeini; Nasir Ghani (ICCCN, 2021)

Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm. - Minoo Hosseinzadeh; Nathaniel Hudson; Sam Heshmati; Hana Khamfroush (CCNC, 2022)

QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. - Minoo Hosseinzadeh; Andrew Wachal; Hana Khamfroush; Daniel E. Lucani (CCNC, 2022)

DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems. - Minoo Hosseinzadeh; Hana Khamfroush (CoRR, 2025)