Abstract: This research focuses on a deep learning framework for the identification of epilepsy from MRI imaging, using the benefits of CNNs and RNNs. Since epilepsy causes seizures from brain ...
Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...