2 papers
cs.CV2025
Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Sheng Huang, Jiexuan Yan, Beiyan Liu +2
Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in Cla…
cs.LG2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongle Li, Bo Liu, Sheng Huang +3
In federated learning, fine-tuning pre-trained foundation models poses significant challenges, particularly regarding high communication cost and suboptimal model performance due t…