Asymptotic Stability of Fixed-Point State-Space Digital Filters with Saturation Arithmetic and External Disturbance: An IOSS Approach. - Priyanka Kokil; Swapnil Sadashiv Shinde (Circuits Syst. Signal Process., 2015)

A Note on the Induced ({ varvec{l}}_ infty ) Stability of Fixed-Point Digital Filters Without Overflow Oscillations and Instability Due to Finite Wordlength Effects. - Priyanka Kokil; Swapnil Sadashiv Shinde (Circuits Syst. Signal Process., 2017)

A network operator-biased approach for multi-service network function placement in a 5G network slicing architecture. - Swapnil Sadashiv Shinde; Dania Marabissi; Daniele Tarchi (Comput. Networks, 2021)

Network Selection and Computation Offloading in Non-Terrestrial Network Edge Computing Environments for Vehicular Applications. - Swapnil Sadashiv Shinde; Daniele Tarchi (ASMS/SPSC, 2022)

Overview of Distributed Machine Learning Techniques for 6G Networks. - Eugenio Muscinelli; Swapnil Sadashiv Shinde; Daniele Tarchi (Algorithms, 2022)

On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems. - Swapnil Sadashiv Shinde; Arash Bozorgchenani; Daniele Tarchi; Qiang Ni (IEEE Trans. Veh. Technol., 2022)

Networked Federated Learning-based Intelligent Vehicular Traffic Management in IoV Scenarios. - Abdullah Abbasi; Swapnil Sadashiv Shinde; Daniele Tarchi (GLOBECOM, 2023)

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)

Collaborative Reinforcement Learning for Multi-Service Internet of Vehicles. - Swapnil Sadashiv Shinde; Daniele Tarchi (IEEE Internet Things J., 2023)

Joint Air-Ground Distributed Federated Learning for Intelligent Transportation Systems. - Swapnil Sadashiv Shinde; Daniele Tarchi (IEEE Trans. Intell. Transp. Syst., 2023)

A Markov Decision Process Solution for Energy-Saving Network Selection and Computation Offloading in Vehicular Networks. - Swapnil Sadashiv Shinde; Daniele Tarchi (IEEE Trans. Veh. Technol., 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)

ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks. - Swapnil Sadashiv Shinde; David Naseh; Daniele Tarchi (GLOBECOM (Workshops), 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)

Integrated Aerial-Ground Computation Offloading for Dependency-Aware IoV Multitask Services. - Swapnil Sadashiv Shinde; Daniele Tarchi (MeditCom, 2024)

A Time-Continuous Federated Learning Framework for Enabling Intelligent Applications Over Latency-Critical Aerial Networks. - Swapnil Sadashiv Shinde; Daniele Tarchi (WCNC, 2024)

Multi-Time-Scale Markov Decision Process for Joint Service Placement, Network Selection, and Computation Offloading in Aerial IoV Scenarios. - Swapnil Sadashiv Shinde; Daniele Tarchi (IEEE Trans. Netw. Sci. Eng., 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)

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)

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)