Latest Articles for Federated Learning

Exploring AI's role in managing complex 6G network demands.

FedDRL enhances federated learning by focusing on model quality and security.

EdgeConvEns improves deep learning while keeping data private and secure.

A new approach to improve vehicle communication and data security.

A look at splitfed learning and its benefits for IoT devices.

Federated Learning enables secure model training without exposing personal data.

Federated Learning enhances statistical accuracy while protecting individual privacy in data collection.

A fresh approach to protect privacy in time series data analysis.

AQUILA enhances federated learning by optimizing device selection and data communication.

A new method improves federated learning while preserving patient data privacy.

FPGAs improve the efficiency and safety of Federated Learning processes.

A new method improves privacy and model training in federated learning.

New framework improves QNN training with encrypted data and privacy protection.

Examining the challenges and solutions for connected and autonomous vehicle operations.

New method reveals vulnerabilities in Vertical Federated Learning systems using Graph Neural Networks.

Federated learning enhances privacy while improving model training on mobile devices.

A new method improves survival analysis while protecting patient privacy.

Federated learning allows secure collaboration while keeping sensitive data private.

A new method improves meeting summaries while protecting sensitive data.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Explore an innovative defense method to enhance federated learning security.

New methods to secure federated learning against attacks while preserving user privacy.

A new method improves segmentation of organs and tumors in medical images.

This research focuses on improving efficiency and privacy in federated learning through adaptive compression methods.

Learn how PPSR protects data privacy in symbolic regression tasks.

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.