Swastika Roy

17 papers Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge.
IEEE Veh. Technol. Mag.
Akram Boutouchent, Abdelkader Mekrache, Adlen Ksentini, Gereziher Adhane, João Pedro Celestino da Fonseca, Joseph McNamara, Kostas Ramantas, Marco Palena, Marius Iordache, Renato Lo Cigno, Salwa Mostafa, Swastika Roy, Christos V. Verikoukis
2025 — conf
LLM-based Conversational Assistant for Intent-driven Management.
NFV-SDN
Gereziher Adhane, João Pedro Fonseca, Konstantinos Togias, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, Christos V. Verikoukis
2025 — conf
Leveraging ADROIT6G for Enhanced Reliability and Efficiency of Rail Automation Infrastructure.
NFV-SDN
Carlos Guimarães, Elizaveta Boriskova, Yannic Breiting, Erin E. Seder, Giacomo Bernini, Iacovos Ioannou, Christophoros Christophorou, Carla-Fabiana Chiasserini, Dinesh Selvaraj, Chaouki Ben Issaid, Mounssif Krouka, Chamith Mawela, Swastika Roy, John S. Vardakas, Christos V. Verikoukis
2025 — conf
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing.
ICC
Martino Chiarani, Swastika Roy, Christos V. Verikoukis, Fabrizio Granelli
2025 J jnl
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing.
CoRR
Martino Chiarani, Swastika Roy, Christos V. Verikoukis, Fabrizio Granelli
2025 — conf
Zero-Touch Federated Intelligence with Real-Time Visualization for SLA-aware Resource Provisioning over NTN towards Railway Automation.
NFV-SDN
Swastika Roy, Elizaveta Boriskova, Carlos Guimarães, Jhofre Ojeda, Golshan Famitafreshi, John S. Vardakas, Christos V. Verikoukis
2024 J jnl
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing.
IEEE Trans. Cogn. Commun. Netw.
Swastika Roy, Hatim Chergui, Christos V. Verikoukis
2024 J jnl
Federated Machine Reasoning for Resource Provisioning in 6G O-RAN.
CoRR
Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos V. Verikoukis
2024 — conf
Intent-Driven Deployment and Live Migration Using LLM.
CAMAD
João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
2024 — conf
Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC
CAMAD
Jhofre Ojeda, Dimitrios Amaxilatis, Nikolaos Tsironis, Themistoklis Sarantakos, João Fonseca, Gereziher Adhane, Golshan Famitafreshi, Swastika Roy, Shreya K. Chari, Navideh Ghafouri, Kostas Ramantas, Christos V. Verikoukis
2024 — conf
Realizing Intent-Driven Network Management with TM Forum Standards.
CAMAD
João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
2024 J jnl
Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case.
IEEE Trans. Veh. Technol.
Swastika Roy, Hatim Chergui, Christos V. Verikoukis
2023 J jnl
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing.
CoRR
Swastika Roy, Hatim Chergui, Christos V. Verikoukis
2023 — conf
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing.
ICC
Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
2023 J jnl
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing.
CoRR
Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
2023 J jnl
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case.
CoRR
Swastika Roy, Hatim Chergui, Christos V. Verikoukis
2022 — conf
A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing.
ICC
Swastika Roy, Hatim Chergui, Luis Sanabria-Russo, Christos V. Verikoukis