Latest Articles for Federated Learning

Fed-LSAE boosts security in federated learning and counters poisoning attacks.

AI's role in transforming network management for advanced wireless technologies.

A new method enhances Federated Learning by addressing staleness and device differences.

A new approach enhances federated learning for diverse client data.

A new method enhances model accuracy through federated learning and kernel regression.

A look at Federated Deep Equilibrium Learning and its impact on AI.

A guide to collaborative distributed machine learning while maintaining data privacy.

Analyzing federated and consensus methods for prostate segmentation from MRI scans.

A new approach to boost machine learning efficiency in satellite communication.

A new approach secures participant selection in federated learning to protect privacy.

This paper presents a method to improve fairness in federated learning while safeguarding data privacy.

A new approach to improve Federated Learning amidst uneven user participation.

Brave offers privacy and protection from threats in peer-to-peer federated learning.

A look into Federated Learning and Unlearning for data privacy.

AdaFed improves fairness in federated learning while maintaining model accuracy.

Improving model training efficiency and privacy in federated learning through coreset selection.

A method to enhance translation quality while maintaining privacy in multilingual communication.

A method to evaluate treatments while protecting individual privacy.

A new method enhances federated learning by reducing communication burdens and tackling client drift.

A new framework improves machine learning models for uneven data distributions.

Examining the risks of integrating Foundation Models into Federated Learning systems.

A new method enhances federated learning efficiency while maintaining data privacy.

Deep learning enhances accuracy in detecting colorectal cancer polyps.

FedGT improves federated learning with enhanced privacy and performance for graph data.

A new approach enhances satellite data processing using federated learning methods.

Exploring a new approach to enhance machine learning data privacy.

A new approach enhances federated learning by addressing slow clients effectively.

A look at how MP-SL aids devices in machine learning while ensuring privacy.

Exploring ways to enhance trustworthiness in distributed artificial intelligence technologies.

A new approach combines energy harvesting with federated learning for better battery management.

Discover how DFML transforms data learning without central servers.

Integrating Foundation Models with Federated Learning presents both risks and benefits.

A strategy to enhance performance and fairness in federated learning models.

Enhancements in federated learning improve efficiency and privacy for IoT applications.

This research examines vulnerabilities in SNNs combined with federated learning techniques.

New strategies in Federated Learning enhance privacy and efficiency in machine learning.

Exploring how SFL can transform data processing in future mobile networks.

A new method improves model accuracy by addressing noisy labels in federated learning.

This study examines a method to enhance disease detection using multimodal data.

Flashback addresses forgetting in Federated Learning for improved model training and performance.