English | 繁體

Search in the results

UM

Browse/Search Results:  1-1 of 1 Help

Selected(0)Clear Items/Page:    Sort:
FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction Conference paper
Meihan Wu, Li Li, Tao Chang, Eric Rigall, Xiaodong Wang, ChengZhong Xu. FedCDR: Federated Cross-Domain Recommendation for Privacy-Preserving Rating Prediction[C]. Mohammad Al Hasan, Li Xiong, New York, NY, United States:Association for Computing Machinery, 2022, 2179–2188.
Authors:  Meihan Wu;  Li Li;  Tao Chang;  Eric Rigall;  Xiaodong Wang; et al.
Favorite | TC[WOS]:11 TC[Scopus]:19 | Submit date：2022/08/30
Personalized Federated Learning  Cross-domain Recommendation  Cold-start Problem  Rating Prediction