IEEE

Model-Heterogeneous Federated Learning With Bidirectional Knowledge Distillation

Abstract: Federated Learning (FL) faces significant challenges in addressing the system heterogeneity of edge devices, which often exhibit diverse computational and resource constraints. To overcome ...
GitHub

python tools for evaluating CORDEX datasets

Create a new environment, e.g., will give a dictionary of combined datasets containing the tas and pr variables identified by their instance id, e.g., ['CORDEX-CMIP6 ...
GitHub

Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks

This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.
IEEE

SWOSBC: A Novel Optimizer for Learning Convolutional Neural Network

Abstract: Deep Neural Networks (DNNs) that aim to maximize accuracy and decrease loss can be trained using optimization algorithms. One of the most significant fields of research is the creation of an ...