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Swapnil Sadashiv Shinde

2 papers indexed

crossrefNetwork2025-09-17Cited by 3

Unified Distributed Machine Learning for 6G Intelligent Transportation Systems: A Hierarchical Approach for Terrestrial and Non-Terrestrial Networks

David Naseh, Arash Bozorgchenani, Swapnil Sadashiv Shinde, Daniele Tarchi

The successful integration of Terrestrial and Non-Terrestrial Networks (T/NTNs) in 6G is poised to revolutionize demanding domains like Earth Observation (EO) and Intelligent Transportation Systems (ITSs). Still, it requires Distributed Machine Learning (DML) frameworks that are…

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crossrefJournal of Sensor and Actuator Networks2024-02-07Cited by 22

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

In the rapidly evolving landscape of next-generation 6G systems, the integration of AI functions to orchestrate network resources and meet stringent user requirements is a key focus. Distributed Learning (DL), a promising set of techniques that shape the future of 6G communicatio…

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