Long Ho

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization

Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains. Federated Domain Generalization (FedDG) attempts to train a global model using collaborative clients in a privacy-preserving manner that can generalize wel…