Latest Articles for Federated Learning

Enhancing smart grid safety using honeypots and federated learning approaches.

FedSat addresses data challenges in federated learning, ensuring privacy and improved performance.

A new method for improved sampling in machine learning with enhanced privacy.

New method improves model performance on unseen data.

AFIND+ improves decentralized federated learning by optimizing neighbor selection and update aggregation.

Exploring the potential of KAHMs in federated learning for improved privacy and efficiency.

A new approach enhances Federated Learning by generating synthetic data while protecting privacy.

pFedDIL improves machine learning by retaining knowledge while adapting to new tasks.

LoRA improves performance of large language models while saving resources.

A new method addresses data challenges in AI for healthcare.

This research discusses federated learning's role in protecting privacy during data analysis.

New methods for statistical testing while protecting data privacy through federated learning.

A new framework enhances security and efficiency in distributed machine learning.

A look at federated learning combining differential privacy and blockchain for data security.

A study on federated learning systems using blockchain for secure collaboration.

Explore the fundamentals of Federated Learning and its importance in data privacy.

A new method for efficient data deduplication in federated learning.

A method to enhance model training using partially labeled medical images.

Exploring the benefits of Federated Learning for anomaly detection in IoT networks.

EFVFL provides a stable method for efficient communication without sharing private data.

A look at federated learning’s privacy and integrity challenges and solutions.

A new method improves AI performance using public datasets while protecting patient privacy.

New methods tackle privacy risks in human movement data prediction.

A novel approach to enhance security in federated learning against backdoor attacks.

New methods for federated learning improve efficiency and privacy in IoT networks.

MedUniverse enhances medical imaging tools while protecting patient privacy.

Federated learning enhances medical imaging while protecting patient data.

CDFL enhances human activity recognition while ensuring data privacy and efficiency.

NeighborFL enhances traffic prediction accuracy while protecting data privacy.

A method to improve machine learning while ensuring data privacy.

Collaboration in healthcare through federated learning improves medical image classification while protecting privacy.

A framework for assessing Federated Learning models in real-world scenarios.

A new method improves the prediction of hospital stay lengths while protecting patient privacy.

A new approach enhances model training while protecting data privacy.

Optimizing resource allocation through decentralized strategies while managing coupled constraints.

FedDM enhances federated learning for diffusion models while ensuring data privacy.

Data poisoning jeopardizes the reliability of the power grid amid rising complexities.

Federated learning enhances machine learning while ensuring data privacy in industrial settings.

A look into Federated Learning and its role in protecting user data.

Exploring UAVs' role in enhancing machine learning through improved communication.