2 papers
cs.LG2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Shuai Gong, Chaoran Cui, Xiaolin Dong +3
Federated domain generalization (FedDG) aims to learn a globally generalizable model from decentralized clients with heterogeneous data while preserving privacy. Recent studies hav…
cs.AI2024
Federated Domain Generalization via Prompt Learning and Aggregation
Shuai Gong, Chaoran Cui, Chunyun Zhang +3
Federated domain generalization (FedDG) aims to improve the global model generalization in unseen domains by addressing data heterogeneity under privacy-preserving constraints. A c…