Abstract: Federated learning (FL) enables the collaborative training of intelligent diagnostic models across multiple clients while preserving data privacy. However, the complex and dynamic working ...
Abstract: Recent studies on data augmentation have focused on improving model performance with limited training data within a specific dataset. While the goal is to enhance performance on the dataset ...
This repository contains the official code and datasets for the paper, "Continuous Temporal Domain Generalization", accepted by NeurIPS 2024. TL;DR: The study proposes a method capable of generating ...
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