Comprehensive doctoral dissertation formulating mathematical optimization theories and empirical frameworks for heterogeneous edge intelligence: Dynamic Tiering Federated Learning (DTFL), Communication-Efficient Workload Balancing (ComDML), and SplitPair Low-Rank SVD parameter compression.
@phdthesis{sajjadi2025dissertation,
title = {Distributed Machine Learning in Heterogeneous Edge Networks},
author = {Sajjadi Mohammadabadi, Seyed Mahmoud},
school = {University of Nevada, Reno},
year = {2025},
note = {ProQuest Dissertation Publishing, 32286545}
}