#heterogeneous-networks News & Analysis

2 articles tagged with #heterogeneous-networks. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · 6h ago6/10

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XAI-SOH-FL: Enhancing SOH-FL with Adaptive Aggregation and Explainable AI for Intrusion Detection in Heterogeneous IoT

Researchers propose XAI-SOH-FL, an enhanced federated learning framework for IoT intrusion detection that combines adaptive aggregation mechanisms with explainable AI to address data heterogeneity and model interpretability challenges. The system achieves 94.12% accuracy on benchmark datasets while eliminating manual parameter tuning and providing transparent feature-level insights into security decisions.

AINeutralarXiv – CS AI · 6h ago6/10

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FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment

FedMTFI is a novel federated learning architecture that combines multi-teacher knowledge distillation with feature importance analysis to improve model training across heterogeneous devices with non-uniformly distributed data. The approach clusters clients by hardware similarity and uses Shapley values to identify important features during model distillation, achieving better accuracy than traditional federated learning algorithms.