16 citations · 25 across the 6 of their papers we have counts for
7 papers
6G-Enabled Cooperative Connected and Automated Mobility: Are We There Yet?
Mate Boban, Alessandro Bazzi, Claudia Campolo +11
Connected, cooperative, and automated mobility (CCAM) is a key enabler of future intelligent transportation systems, requiring seamless integration of communication, sensing, compu…
D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems
Nikolaos Koursioumpas, Lina Magoula, Nancy Alonistioti +1
Climate change is increasing the severity and unpredictability of natural disasters. In time-critical crises such as wildfires, traditional monitoring practices remain limited by c…
ED3R: Energy-Aware Distributed Disaster Detection via Cooperative Agents in Robotic Systems
Lina Magoula, Nikolaos Koursioumpas, Nancy Alonistioti +1
Robotics are expected to support environmental monitoring and disaster detection, where decisions must be made under uncertainty, resource limitations, and strict operational const…
GreenFLag: A Green Agentic Approach for Energy-Efficient Federated Learning
Theodora Panagea, Nikolaos Koursioumpas, Lina Magoula +1
Progressing toward a new generation of mobile networks, a clear focus on integrating distributed intelligence across the system is observed to drive performance, autonomy, and real…
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks
Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis +3
Beyond 5G and 6G networks are expected to support new and challenging use cases and applications that depend on a certain level of Quality of Service (QoS) to operate smoothly. Pre…
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas +5
Progressing towards a new era of Artificial Intelligence (AI) - enabled wireless networks, concerns regarding the environmental impact of AI have been raised both in industry and a…
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks
Lina Magoula, Nikolaos Koursioumpas, Alexandros-Ioannis Thanopoulos +4
Federated Learning (FL) has emerged as a decentralized technique, where contrary to traditional centralized approaches, devices perform a model training in a collaborative manner,…