Latest Articles for Federated Learning

Exploring the intersection of blockchain and federated learning for data privacy and security.

FedD2S enhances Federated Learning by personalizing models while preserving data privacy.

A novel method improves decision tree aggregation while maintaining interpretability and privacy.

Examining federated learning protocols to enhance privacy while improving model accuracy.

A new approach to medical image analysis using federated learning and weak supervision.

Exploring privacy risks and solutions in large language models.

An overview of ASR and its advancements in modern applications.

A new method enhances data security for IoT devices while preserving privacy.

A new method enhances device communication efficiency in federated learning networks.

A new approach to enhance e-health through improved data management and patient privacy.

A new algorithm enhances federated learning by addressing client diversity and efficiency.

Introducing FedFisher, an innovative algorithm for efficient federated learning.

A new method to fine-tune models while ensuring data privacy.

Exploring how machine learning improves human activity recognition from sensor data.

This study enhances federated learning by boosting model diversity while protecting privacy.

A new method enhances security in federated learning through intermediate outputs analysis.

A framework to enhance collaboration in healthcare while ensuring patient privacy.

This article discusses the integration of Bayesian deep learning into federated learning approaches.

The role of machine learning in analyzing medical images is rapidly growing.

Combining quantum computing and federated learning for enhanced data privacy.

Examining the risks of model poisoning attacks in federated learning systems.

Discover how FedCRL improves machine learning while protecting user privacy.

New metric measures dataset similarity while preserving privacy in Federated Learning.

A new method enhances IoT data sharing while ensuring privacy and energy efficiency.

Learn how Federated Learning enhances data privacy and device trust.

A framework to ensure trustworthy devices in federated learning for urban data privacy.

A new framework improves fog federation stability and data privacy.

A new framework enhances evaluation of federated learning algorithms across diverse applications.

This paper discusses combining federated and contrastive learning to enhance data privacy and model performance.

Learn how federated learning keeps data private while improving machine learning.

Exploring federated learning methods to protect user privacy and enhance model performance.

A new method poses significant risks to privacy in federated learning.

LightTR enhances trajectory recovery using federated learning while protecting user privacy.

This study introduces a new training method for AI in cooperative systems.

New method improves device selection efficiency in federated learning.

A new method improving medical data privacy and collaboration between institutions.

This article discusses the fusion of foundation models and federated learning in healthcare.

This study explores Federated Learning's role in Document Visual Question Answering.

A new approach to enhance client availability in federated learning.

A new method improves security and privacy in continuous authentication for devices.