Xinyi Tong

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

2023 · arXiv (Cornell University)

Data heterogeneity is one of the most challenging issues in federated learning, which motivates a variety of approaches to learn personalized models for participating clients. One such approach in deep neural networks based tasks is …

CodeSwap: Symmetrically Face Swapping Based on Prior Codebook

2024

Face swapping, the technique of transferring the identity from one face to another, merges as a field with significant practical applications. However, previous swapping methods often result in visible artifacts. To address this issue, in …