English | 繁體

Search in the results

UM

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity Conference paper
Meihan Wu, Li Li, Tao Chang, Jie Zhou, Cui Miao, Xiaodong Wang, ChengZhong Xu, Rigall, Eric. PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 202971.
Authors:  Meihan Wu;  Li Li;  Tao Chang;  Jie Zhou;  Cui Miao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/08/29
Contrastive Learning  Data Heterogeneity  Ersonalized Federated Learning  Representation Learning  
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