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 ...
IEEE

Parameter-Adaptive Border Peeling Clustering Algorithm

Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...
GitHub

PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning

This is the official implementaion of paper PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. This repository contains Pytorch training code and evaluation code.