11 citations · 30 across the 10 of their papers we have counts for
4 papers · 1 filter
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun, Matias Mendieta, Jun Luo +2
Personalized Federated Learning (PFL) represents a promising solution for decentralized learning in heterogeneous data environments. Partial model personalization has been proposed…
Human not in the loop: objective sample difficulty measures for Curriculum Learning
Zhengbo Zhou, Jun Luo, Dooman Arefan +2
Curriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures…
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan, Mohsen Hejrati, Shandong Wu +1
Developing successful artificial intelligence systems in practice depends on both robust deep learning models and large, high-quality data. However, acquiring and labeling data can…
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis
Jun Luo, Dooman Arefan, Margarita Zuley +2
Mammography is used as a standard screening procedure for the potential patients of breast cancer. Over the past decade, it has been shown that deep learning techniques have succee…