1 citations · 2 across the 13 of their papers we have counts for
3 papers · 1 filter
WassFFed: Wasserstein Fair Federated Learning
Zhongxuan Han, Li Zhang, Chaochao Chen +4
Federated Learning (FL) employs a training approach to address scenarios where users' data cannot be shared across clients. Achieving fairness in FL is imperative since training da…
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
Chaochao Chen, Jiaming Zhang, Yizhao Zhang +5
With increasing privacy concerns in artificial intelligence, regulations have mandated the right to be forgotten, granting individuals the right to withdraw their data from models.…
Controllable Unlearning for Image-to-Image Generative Models via -Constrained Optimization
Xiaohua Feng, Yuyuan Li, Chaochao Chen +4
While generative models have made significant advancements in recent years, they also raise concerns such as privacy breaches and biases. Machine unlearning has emerged as a viable…