most citedMulti-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Multi-Source Collaborative Style Augmentation and Domain-Invariant Learning for Federated Domain Generalization

Yikang Wei

Federated domain generalization aims to learn a generalizable model from multiple decentralized source domains for deploying on the unseen target domain. The style augmentation met…

cs.CV2024★ 2 cited

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

Federated Domain Generalization aims to learn a domain-invariant model from multiple decentralized source domains for deployment on unseen target domain. Due to privacy concerns, t…