Federated framework detects email malware in benchmarks under non-IID data
A divergence-aware federated framework achieved 95.75% accuracy on non-IID email-malware benchmarks while generating visual explanations for its predictions.
A divergence-aware federated framework achieved 95.75% accuracy on non-IID email-malware benchmarks while generating visual explanations for its predictions.
Researchers have developed FedML-DKD, a federated learning framework that uses Earth Mover's Distance to adaptively balance knowledge distillation and meta-learning, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine