Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
Author:
Affiliation:
1. Telecommunications Technological Center of Catalonia (CTTC),Barcelona,Spain
2. i2CAT Foundation,Barcelona,Spain
3. University of Patras,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279790.pdf?arnumber=10279790
Reference27 articles.
1. AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions
2. Statistical Federated Learning for Beyond 5G SLA-Constrained RAN Slicing
3. Trustworthy Deep Learning in 6G-Enabled Mass Autonomy: From Concept to Quality-of-Trust Key Performance Indicators
4. Explainable ai for b5g/6g: Technical aspects, use cases, and research challenges;wang;ArXiv,2021
5. Federated orchestration for network slicing of bandwidth and computational resource;li;ArXiv Preprint,2020
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