1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hierarchical Federated ADMM
Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl H. Johansson +1
In this paper, we depart from the widely-used gradient descent-based hierarchical federated learning (FL) algorithms to develop a novel hierarchical FL framework based on the alter…
A Hierarchical Federated Learning Approach for the Internet of Things
Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor
This paper presents a novel federated learning solution, QHetFed, suitable for large-scale Internet of Things deployments, addressing the challenges of large geographic span, commu…
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor
When implementing hierarchical federated learning over wireless networks, scalability assurance and the ability to handle both interference and device data heterogeneity are crucia…