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Found 5 papers, 2 papers with code
Vertical Federated Image Segmentation
With the popularization of AI solutions for image based problems, there has been a growing concern for both data privacy and acquisition.
Horizontal Federated Computer Vision
In the modern world, the amount of visual data recorded has been rapidly increasing.
Vertical Federated Alzheimer's Detection on Multimodal Data
By using vertical federated learning, this research strives to provide a framework that enables healthcare institutions to harness the collective intelligence embedded in their distributed datasets without compromising patient privacy.
An FNet based Auto Encoder for Long Sequence News Story Generation
In this paper, we design an auto encoder based off of Google's FNet Architecture in order to generate text from a subset of news stories contained in Google's C4 dataset.
Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs
This model has three different convolutional branches with each having a different length.
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