Latest Articles for Federated Learning

A look at how federated learning enhances patient care while maintaining privacy.

MASA offers a solution to enhance security in Federated Learning systems.

A new method to protect smart meters from FDI attacks while preserving privacy.

SAGIN and new learning methods promise a connected future.

Learn how automatic pruning enhances learning models for smart devices.

Federated Learning offers a new way to protect data while collaborating across devices.

A new method identifies problematic devices in federated learning to improve speed and security.

FedBlock enhances federated learning security using blockchain technology.

Learn how hierarchical federated learning protects data while enabling collaboration across devices.

FedPID enhances tumor segmentation while safeguarding patient data.

Learn how Federated Learning enhances privacy in machine learning while facing new threats.

Drones are optimizing their learning processes for efficient data sharing.

A new method improves model performance amid varying data distributions.

Researchers develop methods to teach computers to process invoices while protecting privacy.

Federated Learning and Explainable AI ensure safe and clear data practices.

QuanCrypt-FL enhances security in Federated Learning using advanced techniques.

This system enhances DR detection while maintaining patient privacy.

This research highlights innovative methods for privacy in collaborative machine learning.

New technologies enhance diagnosis and treatment of intracranial hemorrhages.

Federated learning enhances medical imaging while protecting patient privacy.

A method to enhance Federated Learning by adjusting client contributions for better outcomes.

A new defense strategy enhances model privacy without sacrificing performance.

ClipFL enhances federated learning by removing noisy devices for better performance.

Combining federated learning and GNNs for improved stroke assessment while ensuring patient privacy.

A new method blends efficiency and accuracy in Federated Learning.

This article reviews strategies for improving deep learning in diverse medical image settings.

Addressing privacy and fairness in machine learning through innovative methods.

A guide on fair resource distribution in diverse groups.

Discover how Federated Learning addresses data privacy in connected devices.

FedRewind improves collaboration among nodes in federated learning while maintaining data privacy.

Learn how devices train themselves while keeping your data safe.

A plugin safeguards federated learning models from harmful updates without compromising patient privacy.

A new approach to assess pancreatic growths while protecting patient privacy.

New method improves skin lesion classification while protecting patient data.

Learn how UAVs change the game for wireless communication.

Movable antennas enhance data sharing while protecting privacy in federated learning.

A new method allows safe data analysis for healthcare studies.

Explore federated learning, a method for training models without sharing personal data.

Assessing vulnerabilities in federated learning's privacy through attribute inference attacks.

Exploring the intersection of Auto-ML and Federated Learning for better data privacy.