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

A Multi-Branch-Based Capsule Network With Structural Reparameterization

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 ...
IEEE

Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging

Abstract: Magnetic Particle Imaging (MPI) is an emerging imaging modality based on the magnetic response of superparamagnetic iron oxide nanoparticles to achieve high-resolution and real-time imaging ...
Geeky Gadgets

Quick Excel Python Hacks for Advanced Automated Data Analysis

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 ...
Frontiers

Real-time execution of SNN models with synaptic plasticity for handwritten digit recognition on SIMD hardware

1 Department of Electronic Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain 2 Centro de Investigación en Mecatrónica y Sistemas Interactivos—MIST, Universidad Indoamérica, Quito, ...
GitHub

digit-classifier

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.
Frontiers

Bio-Inspired Techniques in a Fully Digital Approach for Lifelong Learning

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 ...