Latest Articles for Federated Learning

Fedbot improves customer support while keeping user data secure.

Introducing a new federated learning method for improved BEV perception in self-driving cars.

New method improves diabetic retinopathy staging and prediction reliability.

Discover how IoT and machine learning can transform patient care and data security.

New method enhances MRI interpretation using limited data from smaller clinics.

A new framework improves smart grid security while maintaining data privacy.

FeDiSa enhances security and efficiency in power systems against cyber threats.

APES and S-APES improve privacy in federated learning while maintaining accuracy.

GraphGANFed combines cutting-edge methods for molecule generation while ensuring data privacy.

New methods help hospitals diagnose COVID-19 while protecting patient privacy.

A new approach enhances federated learning by reducing client drift and forgetting.

A new method empowers users to protect their data privacy in federated learning.

FedShift addresses class imbalance in federated learning for better model performance.

Explore federated learning's role in enhancing MIMO satellite communication efficiency.

Exploring federated learning in decision-making with contextual bandits and privacy preservation.

Drones improve efficiency and privacy with decentralized learning techniques.

PFELS combines privacy and energy efficiency in federated learning.

TimelyFL enhances federated learning by optimizing device contributions and improving model accuracy.

FedLSM enhances collaboration in medical imaging by addressing label mismatches.

FedXGBllr enhances federated learning by improving privacy and communication efficiency.

A new method to protect healthcare data through federated learning and blockchain.

Explore new tools for decentralized learning in machine learning.

A new approach enhances PET images while protecting patient data.

A look at methods to increase device participation in federated learning.

This article discusses methods to remove backdoors from federated learning models.

Strategies to protect user privacy while optimizing communication in data analytics.

This research presents a method to enhance communication in federated learning.

A new method improves model training while protecting patient privacy.

Federated Learning offers a way to improve healthcare data use while protecting patient privacy.

Exploring methods for organizations to share sensitive data while protecting privacy.

Enhancing model performance while protecting user privacy in federated learning.

Innovative methods enhance learning efficiency across connected devices.

JaxPruner simplifies research on sparse neural networks, enhancing performance and flexibility.

A strategy for selecting hospitals enhances predictive models in healthcare.

FedGrad provides a defense mechanism for federated learning, countering backdoor attacks effectively.

A new method allows better data sharing while protecting privacy in healthcare.

Federated Classifier Anchoring improves medical image classification amidst data challenges.

A new framework improves medical image analysis while preserving patient privacy.

New method enhances medical imaging using both labeled and unlabeled data.

Addressing privacy and data valuation in training machine learning models.