A comprehensive survey of federated transfer learning: Challenges, methods and applications
The challenges of FTL. Credit: Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong Federated Learning (FL) has gained...
transfer
Attention Transfer: A Novel Machine Learning Approach for Efficient Vision Transformer Pre-Training and Fine-Tuning
Vision Transformers (ViTs) have revolutionized computer vision by offering an innovative architecture that uses self-attention mechanisms to process image data....
Selection of pre-trained weights for transfer learning in automated cytomegalovirus retinitis classification
We collected the study's dataset from the Department of Ophthalmology at Siriraj Hospital, Mahidol University, with Siriraj Institutional Review Board...
