7 citations · 11 across the 7 of their papers we have counts for
7 papers
Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
Nikos A. Mitsiou, Pavlos S. Bouzinis, Panagiotis G. Sarigiannidis +1
The optimal solution to an optimization problem depends on the problem's objective function, constraints, and size. While deep neural networks (DNNs) have proven effective in solvi…
Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks
Christos Dalamagkas, Panagiotis Radoglou-Grammatikis, Pavlos Bouzinis +7
The ongoing electrification of the transportation sector requires the deployment of multiple Electric Vehicle (EV) charging stations across multiple locations. However, the EV char…
StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
Pavlos S. Bouzinis, Panagiotis Radoglou-Grammatikis, Ioannis Makris +5
Federated learning (FL) is a decentralized learning technique that enables participating devices to collaboratively build a shared Machine Leaning (ML) or Deep Learning (DL) model…
Accelerating Distributed Optimization via Over-the-Air Computing
Nikos A. Mitsiou, Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis +2
Distributed optimization is ubiquitous in emerging applications, such as robust sensor network control, smart grid management, machine learning, resource slicing, and localization.…
Wireless Quantized Federated Learning: A Joint Computation and Communication Design
Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis
Recently, federated learning (FL) has sparked widespread attention as a promising decentralized machine learning approach which provides privacy and low delay. However, communicati…
Wireless Federated Learning (WFL) for 6G Networks -- Part I: Research Challenges and Future Trends
Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis
Conventional machine learning techniques are conducted in a centralized manner. Recently, the massive volume of generated wireless data, the privacy concerns and the increasing com…
Wireless Federated Learning (WFL) for 6G Networks -- Part II: The Compute-then-Transmit NOMA Paradigm
Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, George K. Karagiannidis
As it has been discussed in the first part of this work, the utilization of advanced multiple access protocols and the joint optimization of the communication and computing resourc…