%0 Conference Paper %1 conf/ideal/StockHWF23 %A Stock, Joshua %A Hauke, Oliver %A Weißmann, Julius %A Federrath, Hannes %B IDEAL %D 2023 %E Quaresma, Paulo %E Camacho, David %E Yin, Hujun %E Gonçalves, Teresa %E Julián, Vicente %E Tallón-Ballesteros, Antonio J. %I Springer %K dblp %P 70-81 %T The Applicability of Federated Learning to Official Statistics. %U http://dblp.uni-trier.de/db/conf/ideal/ideal2023.html#StockHWF23 %V 14404 %@ 978-3-031-48232-8

@inproceedings{conf/ideal/StockHWF23, added-at = {2023-11-24T00:00:00.000+0100}, author = {Stock, Joshua and Hauke, Oliver and Weißmann, Julius and Federrath, Hannes}, biburl = {https://www.bibsonomy.org/bibtex/201e01f414dc1d4c0cf356c3052261cda/dblp}, booktitle = {IDEAL}, crossref = {conf/ideal/2023}, editor = {Quaresma, Paulo and Camacho, David and Yin, Hujun and Gonçalves, Teresa and Julián, Vicente and Tallón-Ballesteros, Antonio J.}, ee = {https://doi.org/10.1007/978-3-031-48232-8_8}, interhash = {9df5e5b4138db815d26b169e3b32e202}, intrahash = {01e01f414dc1d4c0cf356c3052261cda}, isbn = {978-3-031-48232-8}, keywords = {dblp}, pages = {70-81}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-04-09T13:35:56.000+0200}, title = {The Applicability of Federated Learning to Official Statistics.}, url = {http://dblp.uni-trier.de/db/conf/ideal/ideal2023.html#StockHWF23}, volume = 14404, year = 2023 }