43 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.LG2025
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
Jieming Bian, Yuanzhe Peng, Lei Wang +2
Foundation models have revolutionized artificial intelligence by providing robust, versatile architectures pre-trained on large-scale datasets. However, adapting these massive mode…
cs.CV2024★ 1 cited
Inference Attacks Against Face Recognition Model without Classification Layers
Yuanqing Huang, Huilong Chen, Yinggui Wang +1
Face recognition (FR) has been applied to nearly every aspect of daily life, but it is always accompanied by the underlying risk of leaking private information. At present, almost…
cs.CV2019★ 43 cited
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li, Lei Wang, Jinglin Xu +3
Few-shot learning in image classification aims to learn a classifier to classify images when only few training examples are available for each class. Recent work has achieved promi…