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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
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

APR-FL: Defending Against Hidden Backdoor Attacks With Adaptive Parameter Replacement

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 ...
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 ...
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 ...