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Morteza Hashemi — most-cited papers & profile · Federated Learning
← authors
·
overview
Morteza Hashemi
13
papers ·
7
citations ·
10
h-index
University of Kansas
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Efficient Cluster Selection for Personalized Federated Learning: A Multi-Armed Bandit Approach
2023 · 3 citations
Privacy-Preserving Quantized Federated Learning with Diverse Precision
2025
pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
2025
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems
2024
Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks
2024
Top co-authors
Zhou Ni
· 3
and Taejoon Kim
· 1
Dang Qua Nguyen
· 1
David J. Love
· 1
Erik Perrins
· 1
Keenan Roach
· 1
Kenny Cheung
· 1
Lin X. Cai
· 1
Lu Wang
· 1
Masoud Ghazikor
· 1
Peiyuan Guan
· 1
Sergiy A. Vorobyov
· 1
Topics
Federated Learning
Privacy
Data Heterogeneity