Seunghan Yang*

Feature Diversification and Adaptation for Federated Domain Generalization

"Federated learning, a distributed learning paradigm, utilizes multiple clients to build a robust global model. In real-world applications, local clients often operate within their limited domains, leading to a ‘domain shift’ across clients. Privacy concerns limit each client’s learning to its own d…