Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Local Superior Soups improves client training and pre-trained model adaptation in federated learning through regularized model interpolation.
Local Superior Soups improves client training and pre-trained model adaptation in federated learning through regularized model interpolation.
The first comprehensive study of five ReID corruption benchmarks compares transformer and CNN robustness and examines cross-dataset generalization.