Eun Gyung Kong

Generalized and Personalized Federated Learning with Black-Box Foundation Models via Orthogonal Transformations

Federated Learning (FL) facilitates decentralized model training while preserving data privacy. However, achieving both robust generalization and effective personalization simultaneously in heterogeneous (non-IID) environments remains a formidable challenge. Furthermore, the widespread adoption of p