Latest Articles for Federated Learning

This article discusses federated learning methods and their impact on privacy and model utility.

New synthetic data approach improves privacy in federated learning.

A new method aims to boost power grid reliability with advanced forecasting and local markets.

A new method enhances fraud detection while ensuring data privacy.

A new algorithm improves privacy and efficiency in federated learning using second-order methods.

FL-E2WS optimizes federated learning in wireless networks while ensuring data privacy.

Examining the risks and strategies of model hijacking in federated learning systems.

A novel approach to federated learning that enhances privacy and efficiency.

FedLog enhances federated learning with efficient communication and data privacy.

This paper examines the synergy between Federated Learning and control applications.

Learn how federated learning improves farming decisions through data privacy and collaboration.

A framework combining blockchain and federated meta-learning for user-centric model training.

Introducing a tool for evaluating unsupervised anomaly detection methods in federated learning.

Using smart meter data and weather info for improved energy monitoring.

A new framework enhances federated learning by addressing noisy data issues.

A new framework improves federated learning efficiency while protecting data privacy.

Combining federated learning and blockchain for secure model sharing.

FlexMod improves federated learning by optimizing resource allocation for diverse data types.

Introducing a new method for improving federated learning efficiency through tailored submodels.

Federated learning enhances cancer research by sharing insights while protecting patient data.

A new framework improves privacy and efficiency in federated learning.

New methods help satellites share data and improve processing capabilities.

This article discusses how Federated Learning can aid homelessness support agencies.

A new IDS enhances vehicle security against growing cyber threats.

A new method enhances communication in Federated Learning through optimal update scheduling.

Innovative technology reduces water waste in farming and gardening.

A new framework improves model accuracy by tackling data imbalance while ensuring privacy.

Learn how federated learning enhances small object detection while maintaining data privacy.

A look at how on-device learning balances app performance with user privacy.

A new approach to analyze complex data while ensuring privacy and efficiency.

Researchers propose a method to enhance medical models while ensuring data privacy.

A system for secure AI learning in healthcare without sharing patient data.

A look at the challenges and benefits of adding new clients in federated learning.

This article discusses using pre-training to enhance privacy and performance in Federated Learning.

Combining model pruning and bandwidth allocation enhances efficiency in federated learning.

This study analyzes FEWS and OEWS in enhancing model performance in manufacturing.

Federated Clustering helps analyze data while keeping sensitive information private.

Researchers can study health conditions without accessing individual patient records.

This article explores a new method for better merging of machine learning models.

A new framework improves audio classification by leveraging multi-modal device knowledge.