An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers.
Nayil Arana|Mohamed Ragab|Thanassis Tiropanis
| Anthology ID: | DBLP:conf/www/Arana0T24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1712-1714 |
| URL: | https://doi.org/10.1145/3589335.3651950 |
| DOI: | https://doi.org/10.1145/3589335.3651950 |
| DBLP: | conf/www/Arana0T24 |
| BibTeX: |
@inproceedings{arana-2024-investigation,
author = {Nayil Arana and
Mohamed Ragab and
Thanassis Tiropanis},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{An Investigation into the Feasibility of Performing Federated Learning on Social Linked Data Servers}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1712--1714},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651950},
doi = {https://doi.org/10.1145/3589335.3651950}
}