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Ransomware Detection using Federated Learning based on CNN Model
The dataset is used for ransomware detection using a CNN model based on federated learning. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
On-demand Quantization for Green Federated Diffusion in Mobile Edge Networks
The dataset used in this paper is a federated diffusion model for mobile edge networks. -
FedNST: Federated Noisy Student Training for Automatic Speech Recognition
Federated Noisy Student Training for Automatic Speech Recognition -
An On-Device Federated Learning Approach for Cooperative Model Update between...
The proposed on-device federated learning approach is evaluated using three datasets: UAH-DriveSet, Smartphone HAR, and MNIST. -
Proposed Framework
The proposed framework aims to address the limitations of deep learning applications for ECG signal classification. Secondly, we proposed a new classifier for ECG signals. When... -
Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Bas...
Human Activity Recognition on mobile devices using a realistic heterogeneous setting with four different public datasets.
