A Practical Federated Learning Framework for Small Number of Stakeholders.

Christian Schneebeli|Saikishore Kalloori|Severin Klingler


Anthology ID:DBLP:conf/wsdm/SchneebeliKK21
Volume:WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Year:2021
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:910-913
URL:https://doi.org/10.1145/3437963.3441702
DOI:https://doi.org/10.1145/3437963.3441702
DBLP:conf/wsdm/SchneebeliKK21
BibTeX:
@inproceedings{schneebeli-2021-practical, author = {Christian Schneebeli and Saikishore Kalloori and Severin Klingler}, editor = {Liane Lewin-Eytan and David Carmel and Elad Yom-Tov and Eugene Agichtein and Evgeniy Gabrilovich}, title = {{A Practical Federated Learning Framework for Small Number of Stakeholders}}, booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}}, pages = {910--913}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3437963.3441702}, doi = {https://doi.org/10.1145/3437963.3441702} }