most citedPersonalized Federated Learning under Mixture of Distributions

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Gradient constrained sharpness-aware prompt learning for vision-language models

Liangchen Liu, Nannan Wang, Dawei Zhou +4

This paper targets a novel trade-off problem in generalizable prompt learning for vision-language models (VLM), i.e., improving the performance on unseen classes while maintaining…

cs.LG2023★ 6 cited

Personalized Federated Learning under Mixture of Distributions

Yue Wu, Shuaicheng Zhang, Wenchao Yu +5

The recent trend towards Personalized Federated Learning (PFL) has garnered significant attention as it allows for the training of models that are tailored to each client while mai…