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}
}