390 citations · 836 across the 16 of their papers we have counts for
4 papers · 1 filter
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yankun Huang, Qihang Lin, Nick Street +1
We propose a federated learning method with weighted nodes in which the weights can be modified to optimize the model's performance on a separate validation set. The problem is for…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Incremental ELMVIS for unsupervised learning
Anton Akusok, Emil Eirola, Yoan Miche +5
An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The me…
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks
Zhiyu Sun, Jia Lu, Stephen Baek
Convolutional neural networks (ConvNets) have demonstrated an exceptional capacity to discern visual patterns from digital images and signals. Unfortunately, such powerful ConvNets…