Latest Articles for Federated Learning

Combining personalized models with global insights for enhanced privacy in data sharing.

FedPAW uses federated learning to enhance vehicle speed predictions while ensuring privacy.

New methods combine quantum computing and federated learning to enhance data privacy.

Learn how federated learning trains AI while protecting personal data.

Federated Learning transforms data sharing while protecting personal information.

FedMetaMed transforms personalized healthcare through innovative data collaboration techniques.

A new framework enhances federated learning, making it more responsive and efficient.

A look into online federated learning and privacy techniques.

Explore how federated learning balances privacy and collaboration.

Discover how automation transforms feature creation while ensuring data privacy.

A look into the fusion of FL and QDSNNs for smarter, private data processing.

Predicting mobile data usage with federated learning ensures efficiency and privacy.

A groundbreaking framework ensuring energy efficiency in Federated Learning for IoT devices.

Learn how Federated Unlearning improves data privacy while training AI models.

A look at strategies for fair play in federated learning.

Discover how LLMs are changing telecommunications while facing challenges with hallucinations.

Hypernetwork Federated Learning offers new ways to protect data privacy in machine learning.

Boosting maize disease detection while preserving data privacy for farmers.

Learn how federated learning transforms traffic predictions while keeping data private.

RHFL+ tackles data noise and model differences in federated learning.

A new approach improves security in federated learning by focusing on client-side defenses.

Learn how exclaves enhance privacy and integrity in federated learning models.

A new approach enhances collaboration in Federated Learning while preserving data privacy.

Hospitals collaborate safely using FedCAR for better medical image generation.

TRAIL enhances federated learning by addressing unreliable clients effectively.

C-FedRAG empowers secure data sharing while ensuring confidentiality across organizations.

A blend of federated learning and fuzzy cognitive maps enhances data privacy and collaboration.

Learn how devices collaborate without sharing personal data.

A new model to enhance cloud data security against malicious users.

FedPIA enhances machine learning while safeguarding sensitive data privacy.

A fresh approach to federated learning that balances privacy and efficiency.

Learn how Split Federated Learning keeps data safe while training smart models.

Learn about DualGFL's impact on data privacy and efficiency.

Federated Learning enables model training while keeping user data private and secure.

Discover how FLAMe enhances fall detection in smart cities while ensuring privacy.

Researchers innovate in automating code review using advanced technology and federated learning.

Innovative models inspired by biology reshape energy-efficient network traffic prediction.

FedDP improves software defect predictions while ensuring data privacy.

FedLEC improves federated learning performance by addressing label skews effectively.

FedGIG tackles privacy risks in graph data training.