Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/access/CuozzoPC23
%A Cuozzo, Giampaolo
%A Pettersson, Jonas
%A Condoluci, Massimo
%D 2023
%J IEEE Access
%K dblp
%P 74473-74485
%T Analysis of a Contention-Based Approach Over 5G NR for Federated Learning in an Industrial Internet of Things Scenario.
%U http://dblp.uni-trier.de/db/journals/access/access11.html#CuozzoPC23
%V 11
@article{journals/access/CuozzoPC23,
added-at = {2023-08-05T00:00:00.000+0200},
author = {Cuozzo, Giampaolo and Pettersson, Jonas and Condoluci, Massimo},
biburl = {https://www.bibsonomy.org/bibtex/28c11249ef660a738ec4483e3c279711e/dblp},
ee = {https://doi.org/10.1109/ACCESS.2023.3295838},
interhash = {b48b60e5f9ba45efdddb58f52ba7677f},
intrahash = {8c11249ef660a738ec4483e3c279711e},
journal = {IEEE Access},
keywords = {dblp},
pages = {74473-74485},
timestamp = {2024-04-08T14:14:36.000+0200},
title = {Analysis of a Contention-Based Approach Over 5G NR for Federated Learning in an Industrial Internet of Things Scenario.},
url = {http://dblp.uni-trier.de/db/journals/access/access11.html#CuozzoPC23},
volume = 11,
year = 2023
}