This approach directly tackles the risk of malicious clients hijacking decentralized model training. New Defense Shields Federated Learning from Poisoning Threats in Healthcare, Autonomous Vehicles & ...

Federated Learning (FL) is an alternative approach that facilitates training machine learning models on distributed users’ data while preserving privacy. However, clients have different local model ...

Federated Learning (FL) has been widely recognized as a promising promoter for future intelligent wireless networks, by collaboratively training a global machine learning (ML) model in a ...

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.