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.
Tag: non-IID data in machine learning
Federated multimodal approach boosts malware classification across non-IID data
Malware never sleeps, but the data needed to fight it cannot legally leave the organizations that collect it. That tension ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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