Lessons from the AdKDD'21 Privacy-Preserving ML Challenge.

Eustache Diemert|Romain Fabre|Alexandre Gilotte|Fei Jia|Basile Leparmentier|Jérémie Mary|Zhonghua Qu|Ugo Tanielian|Hui Yang


Anthology ID:DBLP:conf/www/DiemertFGJLMQTY22
Volume:WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
Year:2022
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2026-2035
URL:https://doi.org/10.1145/3485447.3512076
DOI:https://doi.org/10.1145/3485447.3512076
DBLP:conf/www/DiemertFGJLMQTY22
BibTeX:
@inproceedings{diemert-2022-lessons, author = {Eustache Diemert and Romain Fabre and Alexandre Gilotte and Fei Jia and Basile Leparmentier and J\'{e}r\'{e}mie Mary and Zhonghua Qu and Ugo Tanielian and Hui Yang}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{Lessons from the AdKDD'21 Privacy-Preserving ML Challenge}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {2026--2035}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512076}, doi = {https://doi.org/10.1145/3485447.3512076} }