Latest Articles for Federated Learning

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.

PUFFLE offers a solution for privacy, utility, and fairness challenges in machine learning.

A new approach to improve medical image classification while preserving patient privacy.

A new system enhances security for vehicles in the 6G era.

Federated learning offers a way to utilize data while maintaining user privacy.

This study examines privacy differences between decentralized and centralized federated learning.

A framework enhances security in connected vehicles while protecting user privacy.

This article discusses federated learning methods and their impact on privacy and model utility.

New synthetic data approach improves privacy in federated learning.

A new method aims to boost power grid reliability with advanced forecasting and local markets.

A new method enhances fraud detection while ensuring data privacy.

A new algorithm improves privacy and efficiency in federated learning using second-order methods.

FL-E2WS optimizes federated learning in wireless networks while ensuring data privacy.

Examining the risks and strategies of model hijacking in federated learning systems.

A novel approach to federated learning that enhances privacy and efficiency.

FedLog enhances federated learning with efficient communication and data privacy.

This paper examines the synergy between Federated Learning and control applications.

Learn how federated learning improves farming decisions through data privacy and collaboration.

A framework combining blockchain and federated meta-learning for user-centric model training.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

Using smart meter data and weather info for improved energy monitoring.

A new framework enhances federated learning by addressing noisy data issues.

A new framework improves federated learning efficiency while protecting data privacy.

Combining federated learning and blockchain for secure model sharing.

FlexMod improves federated learning by optimizing resource allocation for diverse data types.

Introducing a new method for improving federated learning efficiency through tailored submodels.

Federated learning enhances cancer research by sharing insights while protecting patient data.

A new framework improves privacy and efficiency in federated learning.

New methods help satellites share data and improve processing capabilities.

This article discusses how Federated Learning can aid homelessness support agencies.

A new IDS enhances vehicle security against growing cyber threats.

A new method enhances communication in Federated Learning through optimal update scheduling.

Innovative technology reduces water waste in farming and gardening.

A new framework improves model accuracy by tackling data imbalance while ensuring privacy.