22 citations · 63 across the 15 of their papers we have counts for
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cs.LG2023
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout
Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli +3
Large machine learning models trained on diverse data have recently seen unprecedented success. Federated learning enables training on private data that may otherwise be inaccessib…
cs.CV2023
MoViT: Memorizing Vision Transformers for Medical Image Analysis
Yiqing Shen, Pengfei Guo, Jingpu Wu +5
The synergy of long-range dependencies from transformers and local representations of image content from convolutional neural networks (CNNs) has led to advanced architectures and…