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2020 – today
- 2025
[j3]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:
6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge. IEEE Veh. Technol. Mag. 20(1): 44-54 (2025)- [c6]Martino Chiarani, Swastika Roy, Christos V. Verikoukis, Fabrizio Granelli:
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing. ICC 2025: 1881-1887 - [i5]Martino Chiarani, Swastika Roy, Christos V. Verikoukis, Fabrizio Granelli:
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing. CoRR abs/2503.12435 (2025) - 2024
- [j2]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing. IEEE Trans. Cogn. Commun. Netw. 10(6): 2269-2281 (2024) - [j1]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Toward Bridging the FL Performance-Explainability Tradeoff: A Trustworthy 6G RAN Slicing Use-Case. IEEE Trans. Veh. Technol. 73(7): 10529-10538 (2024) - [c5]João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis:
Intent-Driven Deployment and Live Migration Using LLM. CAMAD 2024: 1-2 - [c4]João Pedro Fonseca, Gereziher Adhane, Konstantinos Togias, Jhofre Ojeda, Swastika Roy, Golshan Famitafreshi, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis:
Realizing Intent-Driven Network Management with TM Forum Standards. CAMAD 2024: 1-5 - [c3]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:
Real-Time Machine Learning-Based IoT Data Analysis in the Edge Cloud Continuum Using AC3. CAMAD 2024: 1-2 - [i4]Swastika Roy, Hatim Chergui, Adlen Ksentini, Christos V. Verikoukis:
Federated Machine Reasoning for Resource Provisioning in 6G O-RAN. CoRR abs/2406.06128 (2024) - 2023
- [c2]Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. ICC 2023: 1238-1243 - [i3]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing. CoRR abs/2307.09494 (2023) - [i2]Swastika Roy, Hatim Chergui, Christos V. Verikoukis:
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case. CoRR abs/2307.12903 (2023) - [i1]Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis:
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. CoRR abs/2309.13325 (2023) - 2022
- [c1]Swastika Roy, Hatim Chergui, Luis Sanabria-Russo, Christos V. Verikoukis:
A Cloud Native SLA-Driven Stochastic Federated Learning Policy for 6G Zero-Touch Network Slicing. ICC 2022: 4269-4274
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