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2020 – today
- 2025
[j5]Marius Corici
, Màrius Caus, Xavier Artiga, Alessandro Guidotti, Benjamin Barth, Tomaso de Cola, Justin Tallon, Hemant Zope, Daniele Tarchi, Fanny Parzysz, David Naseh, Swapnil Sadashiv Shinde:
Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective. IEEE Access 13: 14770-14788 (2025)- [j4]David Naseh, Arash Bozorgchenani, Swapnil Sadashiv Shinde, Daniele Tarchi:
Unified Distributed Machine Learning for 6G Intelligent Transportation Systems: A Hierarchical Approach for Terrestrial and Non-Terrestrial Networks. Network 5(3): 41 (2025) - [c5]Swapnil Sadashiv Shinde, David Naseh, Tomaso de Cola, Daniele Tarchi:
A Distributed Task Allocation Methodology for Edge Computing in a LEO Satellite IoT Context. ASMS/SPSC 2025: 1-7 - [c4]David Naseh, Arash Bozorgchenani, Daniele Tarchi:
Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming. WCNC 2025: 1-6 - 2024
- [j3]David Naseh, Mahdi Abdollahpour, Daniele Tarchi:
Real-World Implementation and Performance Analysis of Distributed Learning Frameworks for 6G IoT Applications. Inf. 15(4): 190 (2024) - [j2]David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi:
Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios. J. Sens. Actuator Networks 13(1): 14 (2024) - [c3]David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi:
Multi-Layer Distributed Learning for Intelligent Transportation Systems in 6G Aerial-Ground Integrated Networks. EuCNC/6G Summit 2024: 711-716 - [c2]Swapnil Sadashiv Shinde, David Naseh, Daniele Tarchi:
ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks. GLOBECOM (Workshops) 2024: 1-6 - [c1]David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi, Tomaso de Cola:
Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks. MeditCom 2024: 1-6 - 2023
- [j1]Lorenzo Ridolfi, David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi:
Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications. Future Internet 15(11): 358 (2023) - [i1]David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi:
Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision. CoRR abs/2310.05899 (2023)
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