Xinghao Wu

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

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

Causality Inspired Federated Learning for OOD Generalization

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