Pytorch Federated Learning Tutorial

A Novel Approach for Differential Privacy-Preserving Federated Learning

Abstract: In this paper, we start with a comprehensive evaluation of the effect of adding differential privacy (DP) to federated learning (FL) approaches, focusing on methodologies employing global ...

IEEE

Personalized Federated Learning for Privacy-Preserving and Scalable IoT-Driven Smart Healthcare

Abstract: The swift development of Internet of Things (IoT) in smart healthcare has facilitated real-time monitoring of patients, predictive diagnoses, and smart decision-making. Traditional ...

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.

Some results have been hidden because they may be inaccessible to you

Show inaccessible results

A Novel Approach for Differential Privacy-Preserving Federated Learning

Personalized Federated Learning for Privacy-Preserving and Scalable IoT-Driven Smart Healthcare

Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks

Trending now