2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 1 cited
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
Sichun Luo, Yuanzhang Xiao, Xinyi Zhang +3
Federated recommendation systems employ federated learning techniques to safeguard user privacy by transmitting model parameters instead of raw user data between user devices and t…
cs.LG2023★ 2 cited
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
Jian Xu, Meiling Yang, Wenbo Ding +1
The label distribution skew induced data heterogeniety has been shown to be a significant obstacle that limits the model performance in federated learning, which is particularly de…
cs.IR2022
FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval
Meilin Yang, Jian Xu, Yang Liu +1
Deep hashing has been widely applied in large-scale data retrieval due to its superior retrieval efficiency and low storage cost. However, data are often scattered in data silos wi…