FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction.

Meihan Wu|Li Li|Chang Tao|Eric Rigall|Xiaodong Wang|Cheng-Zhong Xu


Anthology ID:DBLP:conf/cikm/WuLTRWX22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:2179-2188
URL:https://doi.org/10.1145/3511808.3557320
DOI:https://doi.org/10.1145/3511808.3557320
DBLP:conf/cikm/WuLTRWX22
BibTeX:
@inproceedings{wu-2022-fedcdr, author = {Meihan Wu and Li Li and Chang Tao and Eric Rigall and Xiaodong Wang and Cheng-Zhong Xu}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {2179--2188}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557320}, doi = {https://doi.org/10.1145/3511808.3557320} }