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

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.
GitHub

ai-agriculture-circuits-and-systems/RawRipe

A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...
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 ...