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.

Abstract: Federated learning (FL) has become a key technology for achieving efficient and reliable edge AI decision-making in consumer electronics devices. However, its application in open network ...

Introduction: Accurate disease diagnosis is critical in the medical field, yet it remains a challenging task due to the limited, heterogeneous, and complex nature of medical data. These challenges are ...

Abstract: The capsule network (CapsNet) is an advanced network model. However, the performance of CapsNet on complex datasets (such as CIFAR10) is limited. Improving the network architecture serves as ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

This project encompasses a series of modules designed to facilitate the creation, training, and prediction using a PyTorch MLP Neural Network for digit classification based on the MNIST dataset.

Lifelong learning has deeply underpinned the resilience of biological organisms respect to a constantly changing environment. This flexibility has allowed the evolution of parallel-distributed systems ...