Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision. - David Naseh; Swapnil Sadashiv Shinde; Daniele Tarchi (CoRR, 2023)

Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications. - Lorenzo Ridolfi; David Naseh; Swapnil Sadashiv Shinde; Daniele Tarchi (Future Internet, 2023)

Multi-Layer Distributed Learning for Intelligent Transportation Systems in 6G Aerial-Ground Integrated Networks. - David Naseh; Swapnil Sadashiv Shinde; Daniele Tarchi (EuCNC/6G Summit, 2024)

Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks. - David Naseh; Swapnil Sadashiv Shinde; Daniele Tarchi; Tomaso de Cola (MeditCom, 2024)

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios. - David Naseh; Swapnil Sadashiv Shinde; Daniele Tarchi (J. Sens. Actuator Networks, 2024)

Real-World Implementation and Performance Analysis of Distributed Learning Frameworks for 6G IoT Applications. - David Naseh; Mahdi Abdollahpour; Daniele Tarchi (Inf., 2024)

A Distributed Task Allocation Methodology for Edge Computing in a LEO Satellite IoT Context. - Swapnil Sadashiv Shinde; David Naseh; Tomaso de Cola; Daniele Tarchi (ASMS/SPSC, 2025)

Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming. - David Naseh; Arash Bozorgchenani; Daniele Tarchi (WCNC, 2025)

Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective. - 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 (IEEE Access, 2025)