Latest Articles for Federated Learning

This article discusses data privacy risks and detection methods in federated learning.

Federated Learning enhances security for IoT devices while protecting user data.

Phoenix model improves generative AI performance while ensuring data privacy.

A look at Federated Learning's benefits and challenges, including the FedVal method.

Learn how federated learning can enhance machine learning while protecting data privacy.

A look at how banded matrix factorization protects privacy in machine learning.

A look into federated learning’s vulnerabilities and the threat of backdoor attacks.

A new model improves surgical image analysis while protecting patient privacy.

An overview of federated learning's privacy and fairness challenges.

A new benchmark for combining data types while prioritizing user privacy.

This article examines privacy issues in embodied AI through gradient inversion methods.

Fedstellar enables secure and efficient training of machine learning models across devices.

A new framework improves learning from limited data in federated environments.

Financial institutions seek secure ways to share data while protecting privacy.

A new benchmark called FedNoisy helps tackle noisy labels in federated learning.

MimiC enhances federated learning by addressing the dropout issue for better model accuracy.

Research highlights a method to enhance RIS performance in changing environments.

FLGo platform streamlines federated learning for researchers with flexible tools.

A new method improves low-dose CT imaging while protecting patient data.

Exploring the Internet of Energy and its modern technologies.

A novel approach enhances defenses in federated learning systems against adversarial attacks.

A new method improves federated learning performance amid data privacy concerns.

A new method improves medical image classification while protecting patient data.

A look at federated learning algorithms and frameworks for privacy-preserving machine learning.

A new method improves medical models while keeping patient data private.

Advanced techniques improve video streaming quality with minimal interruptions.

Learn how FGL protects data privacy while improving machine learning models.

Federated learning enhances medical NLP while protecting patient privacy.

Combining federated learning and blockchain enhances data privacy in collaborative models.

A new method improves stability in federated learning through better model adaptation.

Combining federated learning with differential privacy enhances medical image classification while ensuring patient data safety.

A framework improving federated learning by managing diverse tasks across devices.

A new technique improves detection of backdoor attacks in federated learning models.

A new model enhances efficiency and accuracy in medical image classification.

A new framework combines federated learning and blockchain to enhance data protection.

A new framework enhances distributed optimization for complex non-convex problems.

New open platforms aim to improve Federated Learning through user collaboration.

FedDec enhances federated learning by enabling direct device communication for better model training.

New algorithm improves vehicle safety and detects cyberattacks effectively.

A new method to improve fairness in federated learning models while maintaining privacy.