%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 }