Latest Articles for Federated Learning

FedIns tackles data challenges in federated learning to improve model performance.

CyberForce combines learning strategies to protect IoT devices from malware.

A new attack shows risks to patient data safety in federated learning systems.

A new method enhances UAV participation in federated learning while protecting privacy.

A new method enhances task distribution and routing in edge computing environments.

A new method improves network traffic management while protecting user privacy.

This article discusses managing communication noise in federated learning for better model performance.

An innovative method for collaborative machine learning while keeping data private.

A method for personalized machine learning in federated learning environments.

A new framework enhances federated learning in multi-cloud settings.

Federated Learning enhances connected vehicle safety while protecting user data.

FedSIS improves face presentation attack detection while ensuring data privacy.

Exploring split learning's benefits for secure healthcare model training.

Analyzing the effects of compression on learning algorithms in distributed systems.

A new approach enhances MRI image quality while ensuring data privacy.

Using Federated Learning to improve PCOS treatment while ensuring patient privacy.

FedSoL improves local learning while maintaining global model alignment.

User-Level Differential Privacy offers a better privacy approach in data sharing.

New methods improve communication and privacy in neuroimaging research using federated learning.

A new method enhances detection accuracy in IoT networks using semi-supervised and semi-asynchronous learning.

Exploring challenges and solutions for implementing federated learning in IoT devices.

A new approach improves understanding of AI decisions in federated learning.

A new method enhances federated learning by reducing data differences among clients.

A new framework tackles unlearning challenges in decentralized machine learning environments.

A new method enhances the use of large language models on mobile devices.

New techniques improve disease diagnosis while ensuring patient privacy.

Discover how federated learning optimizes data training while maintaining privacy.

A new approach personalizes model training while protecting data privacy.

New framework links Client Drift and Catastrophic Forgetting for better model performance.

FedLADA improves model training speed and accuracy while ensuring data privacy.

Federated learning improves AI while safeguarding data privacy across devices.

A new method enhances machine learning for medical imaging while protecting patient privacy.

Equitable-FL enables efficient federated learning in devices with varied resources.

FedSecure speeds up satellite data analysis while ensuring privacy and security.

A look at how the EM algorithm enhances learning from clustered data.

FCCA improves model accuracy while ensuring user privacy in federated learning.

A look at how federated learning and model pruning enhance wireless network performance.

Federated Learning improves speech recognition while keeping user data private.

This article explores a method to enhance federated learning with efficient communication.

This method improves brain disorder detection while keeping patient data secure.