2 papers
cs.LG2024
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan, Qi Li, Yi Zhao +3
Federated Learning (FL) trains a black-box and high-dimensional model among different clients by exchanging parameters instead of direct data sharing, which mitigates the privacy l…
cs.IR2023
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up
Shenzheng Zhang, Qi Tan, Xinzhi Zheng +2
The gap between the randomly initialized item ID embedding and the well-trained warm item ID embedding makes the cold items hard to suit the recommendation system, which is trained…