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Journal Articles
- 2024
[j2]Lina Magoula
, Nikolaos Koursioumpas, Theodora Panagea, Nancy Alonistioti, Chaima Ghribi, Joshua Shakya:
SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks. Comput. Networks 240: 110190 (2024)- 2021
- [j1]Lina Magoula, Sokratis Barmpounakis, Ioannis Stavrakakis, Nancy Alonistioti:
A genetic algorithm approach for service function chain placement in 5G and beyond, virtualized edge networks. Comput. Networks 195: 108157 (2021)
Conference and Workshop Papers
- 2023
- [c5]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. PIMRC 2023: 1-6 - 2022
- [c4]Nikolaos Koursioumpas, Lina Magoula, Sokratis Barmpounakis, Ioannis Stavrakakis:
Network Traffic Anomaly Prediction for Beyond 5G Networks. PIMRC 2022: 589-594 - [c3]Lina Magoula, Nikolaos Koursioumpas, Sokratis Barmpounakis, Panagiotis Kontopoulos, Miguel Angel Gutierrez-Estevez, Ramin Khalili, Apostolos Kousaridas:
A Deep Learning Approach for Distributed QoS Prediction in Beyond 5G Networks. PIMRC 2022: 1407-1412 - 2021
- [c2]Sokratis Barmpounakis, Lina Magoula, Nikolaos Koursioumpas, Ramin Khalili, José Mauricio Perdomo, Ramya Panthangi Manjunath:
LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications. 5GWF 2021: 436-440 - [c1]Danny De Vleeschauwer, Jorge Baranda, Josep Mangues-Bafalluy, Carla-Fabiana Chiasserini, Marco Malinverno, Corrado Puligheddu, Lina Magoula, Jorge Martín-Pérez, Sokratis Barmpounakis, Koteswararao Kondepu, Luca Valcarenzhi, Xi Li, Chrysa Papagianni, Andres Garcia-Saavedra:
5Growth Data-Driven AI-Based Scaling. EuCNC/6G Summit 2021: 383-388
Informal and Other Publications
- 2024
- [i3]Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. CoRR abs/2401.10158 (2024) - 2023
- [i2]Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nikolaos Petropouleas, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2306.14237 (2023) - [i1]Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, Alexandros-Ioannis Thanopoulos, Theodora Panagea, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks. CoRR abs/2308.10664 (2023)
Coauthor Index
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