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ORCIDSwastika Roy
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2020 – today
- 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)- [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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