Swastika Roy

Orcid: 0000-0002-8895-6562

According to our database1, Swastika Roy authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge.
IEEE Veh. Technol. Mag., March, 2025

Zero-Touch Federated Intelligence with Real-Time Visualization for SLA-aware Resource Provisioning over NTN towards Railway Automation.
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025

Leveraging ADROIT6G for Enhanced Reliability and Efficiency of Rail Automation Infrastructure.
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025

LLM-based Conversational Assistant for Intent-driven Management.
Proceedings of the IEEE Conference on Network Function Virtualization and Software-Defined Networking, 2025

XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing.
IEEE Trans. Cogn. Commun. Netw., December, 2024

Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case.
IEEE Trans. Veh. Technol., July, 2024

Federated Machine Reasoning for Resource Provisioning in 6G O-RAN.
CoRR, 2024

Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC<sup>3</sup>.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

Realizing Intent-Driven Network Management with TM Forum Standards.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

Intent-Driven Deployment and Live Migration Using LLM.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

2023
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case.
CoRR, 2023

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing.
Proceedings of the IEEE International Conference on Communications, 2023

2022
A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing.
Proceedings of the IEEE International Conference on Communications, 2022


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