Jianwei Niu

We Generate What You Need: Efficient Data Supplement via Model Prediction Discrepancy for Heterogeneous Federated Learning

The Other Side of the Coin: Unveiling the Downsides of Model Aggregation in Federated Learning from a Layer-peeled Perspective

VFedCD: Causal Discovery under Vertical Federated Scenario

Select and Schedule: An Efficient Hierarchical Optimizer for Blocking Job Shop Scheduling Problem with Massive Jobs

Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation

Causality Inspired Federated Learning for OOD Generalization

Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation

From Mismatch to Harmony: Resolving Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation