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Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and
  Research Challenges
v1v2 (latest)

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

9 December 2021
Shen Wang
M. Qureshi
Luis Miralles-Pechuán
Thien Huynh-The
Thippa Reddy Gadekallu
Madhusanka Liyanage
ArXiv (abs)PDFHTML

Papers citing "Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges"

5 / 5 papers shown
Title
Integration of TinyML and LargeML: A Survey of 6G and Beyond
Integration of TinyML and LargeML: A Survey of 6G and Beyond
Thai-Hoc Vu
Ngo Hoang Tu
Thien Huynh-The
Kyungchun Lee
Sunghwan Kim
Miroslav Voznak
Quoc-Viet Pham
69
0
0
20 May 2025
A Survey on the Integration of Generative AI for Critical Thinking in
  Mobile Networks
A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
Athanasios Karapantelakis
Alexandros Nikou
Ajay Kattepur
Jean Martins
Leonid Mokrushin
S. Mohalik
Marin Orlic
Aneta Vulgarakis Feljan
84
2
0
10 Apr 2024
Towards Bridging the FL Performance-Explainability Trade-Off: A
  Trustworthy 6G RAN Slicing Use-Case
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case
Swastika Roy
Hatim Chergui
C. Verikoukis
69
10
0
24 Jul 2023
Explainability in Deep Reinforcement Learning
Explainability in Deep Reinforcement Learning
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
XAI
235
283
0
15 Aug 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.3K
17,197
0
16 Feb 2016
1