Swastika Roy

Orcid: 0000-0002-8895-6562

According to our database1, Swastika Roy authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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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

XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing.
CoRR, March, 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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