Swapnil Sadashiv Shinde

Orcid: 0000-0003-2716-6441

According to our database1, Swapnil Sadashiv Shinde authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios.
J. Sens. Actuator Networks, February, 2024

Multi-Time-Scale Markov Decision Process for Joint Service Placement, Network Selection, and Computation Offloading in Aerial IoV Scenarios.
IEEE Trans. Netw. Sci. Eng., 2024

A Time-Continuous Federated Learning Framework for Enabling Intelligent Applications Over Latency-Critical Aerial Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Integrated Aerial-Ground Computation Offloading for Dependency-Aware IoV Multitask Services.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Distributed Intelligent Framework for Remote Area Observation on Multilayer Non-Terrestrial Networks.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2024

Multi-Layer Distributed Learning for Intelligent Transportation Systems in 6G Aerial-Ground Integrated Networks.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023
A Markov Decision Process Solution for Energy-Saving Network Selection and Computation Offloading in Vehicular Networks.
IEEE Trans. Veh. Technol., September, 2023

Joint Air-Ground Distributed Federated Learning for Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., September, 2023

Collaborative Reinforcement Learning for Multi-Service Internet of Vehicles.
IEEE Internet Things J., February, 2023

Implementation and Evaluation of a Federated Learning Framework on Raspberry PI Platforms for IoT 6G Applications.
Future Internet, 2023

Enabling Intelligent Vehicular Networks Through Distributed Learning in the Non-Terrestrial Networks 6G Vision.
CoRR, 2023

Networked Federated Learning-based Intelligent Vehicular Traffic Management in IoV Scenarios.
Proceedings of the IEEE Global Communications Conference, 2023

2022
On the Design of Federated Learning in Latency and Energy Constrained Computation Offloading Operations in Vehicular Edge Computing Systems.
IEEE Trans. Veh. Technol., 2022

Overview of Distributed Machine Learning Techniques for 6G Networks.
Algorithms, 2022

Network Selection and Computation Offloading in Non-Terrestrial Network Edge Computing Environments for Vehicular Applications.
Proceedings of the 11th Advanced Satellite Multimedia Systems Conference and the 17th Signal Processing for Space Communications Workshop, 2022

2021
A network operator-biased approach for multi-service network function placement in a 5G network slicing architecture.
Comput. Networks, 2021

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

2015
Asymptotic Stability of Fixed-Point State-Space Digital Filters with Saturation Arithmetic and External Disturbance: An IOSS Approach.
Circuits Syst. Signal Process., 2015


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