Latest Articles for Federated Learning

An overview of Bayesian computation's growth and its integration with machine learning.

BRAIN combines blockchain and AI for transparency and reliability in large models.

FedPDD improves recommendation systems while protecting user data privacy.

Federated learning protects privacy while enhancing mobility applications.

A look into federated learning's potential and risks for user privacy.

XTab enhances machine learning for diverse tabular datasets, improving model flexibility.

A new method predicts taxi demand while ensuring data privacy.

SplitAMC enhances data privacy and reduces latency in modulation classification.

Explore the methods and challenges of model evaluation in federated learning.

FLARE helps IoT devices manage concept drift while ensuring privacy and efficiency.

A new method improves Federated Learning efficiency by adjusting local training steps.

Federated learning offers solutions for fairness in AI-driven healthcare predictions.

A new method enhances data sharing among connected vehicles using federated learning.

Enhancing efficiency in Federated Learning with risk-aware device strategies.

PS-FedGAN enhances privacy and efficiency in federated learning by sharing minimal data.

Federated Learning enhances model training while keeping user data private.

LEOShot allows faster satellite data processing while ensuring privacy.

Federated Learning improves translation efficiency while ensuring data privacy.

A new framework boosts energy efficiency in smart technology networks.

Exploring Multi-Model Asynchronous Federated Learning for improved efficiency and privacy.

Scafflix improves communication in Federated Learning while ensuring data privacy.

Federated learning enhances accuracy in breast cancer diagnosis through improved image retrieval.

A look into federated learning's impact on privacy and fairness.

WeiAvg enhances federated learning by prioritizing data diversity while safeguarding privacy.

Exploring federated learning and the interior point method for effective model training.

A framework to develop personalized policies using observational data while ensuring privacy.

Examining the interplay of communication methods and privacy in virtual spaces.

This article discusses the role of Deep Equilibrium models in federated learning.

A new framework for federated learning adapts to shifting data while ensuring privacy.

Federated learning improves model training while keeping user data private.

Using federated learning to enhance speech analysis for Parkinson's diagnosis across languages.

New models improve air-to-ground communication using federated learning and generative neural networks.

UniFed framework enhances neuroimaging analysis while ensuring data privacy.

Examining the potential of Federated Learning in IoT and edge devices.

A method for training models that protects data privacy while improving collaboration.

A novel approach to enhance security in military wireless networks.

A new framework improves remote sensing data analysis while maintaining privacy.

Combining federated learning and MIMO enhances privacy and efficiency in wireless systems.

FedMSA enhances federated learning by improving communication and efficiency in decentralized training.

A method to remove data from machine learning models while ensuring privacy.