Qiang Yang

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs

FedL2G: Learning to Guide Local Training in Heterogeneous Federated Learning

Disentangling data distribution for Federated Learning

Label Privacy Source Coding in Vertical Federated Learning

TAFS: Task-aware Activation Function Search for Graph Neural Networks

Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning

ZOOPFL: EXPLORING BLACK-BOX FOUNDATION MODELS FOR PERSONALIZED FEDERATED LEARNING