Di Wu

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks

Reimagining Federated Knowledge Graph Embedding with One-Shot Adaptive Semantic Alignment

FedDOR: Orthogonal Initialization and Dual Regularization for Prototype Integrity in Heterogeneous Federated Learning

Dual Contrastive Inversion with Distributional Priors for Diversity-Aware Data-Free Knowledge Distillation

PI-Controlled Uncertainty for Steady-State Error Elimination in Ultrasound Image Segmentation

ParaShield: Parameter-Level Directional Defense for Federated Backdoor Robustness

Perturb to Forget: Zero-Shot Machine Unlearning

FedEquilibria: Towards Fair and Robust Federated Learning under Domain Skew

FedInverse: Evaluating Privacy Leakage in Federated Learning