Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications
- DOI
- 10.1109/tccn.2023.3261300
- Published
- 2023-08
- Container
- IEEE Transactions on Cognitive Communications and Networking
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tccn.2023.3261300,
title = {Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications},
author = {Matteo Zecchin and Sangwoo Park and Osvaldo Simeone and Marios Kountouris and David Gesbert},
year = {2023},
journal = {IEEE Transactions on Cognitive Communications and Networking},
doi = {10.1109/tccn.2023.3261300},
url = {https://doi.org/10.1109/tccn.2023.3261300}
}RIS
TY - JOUR TI - Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications AU - Matteo Zecchin AU - Sangwoo Park AU - Osvaldo Simeone AU - Marios Kountouris AU - David Gesbert PY - 2023 JO - IEEE Transactions on Cognitive Communications and Networking DO - 10.1109/tccn.2023.3261300 UR - https://doi.org/10.1109/tccn.2023.3261300 ER -
APA
Zecchin, M., Park, S., Simeone, O., Kountouris, M., & Gesbert, D. (2023). Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Transactions on Cognitive Communications and Networking. https://doi.org/10.1109/tccn.2023.3261300
Source records
- crossref · retrieved 2026-11-04T23:16:29.256Z