Neural Networks, Language Models and Federated Learning Join Forces Against Money Laundering
A new open-access framework combines graph neural networks, LSTM models, large language models and federated learning to detect money laundering ...
A new open-access framework combines graph neural networks, LSTM models, large language models and federated learning to detect money laundering ...
Italian researchers have proposed OBESI-NET, a conceptual national AI-supported ecosystem for obesity surveillance and precision medicine that has not yet ...
A comparative analysis finds Android's Health Connect substantially improves health data privacy over Google Fit and the Sensor API, but ...
Voters in Australia, the United States, the United Kingdom, Canada and Germany share a deep unease about political parties harvesting ...
A new EU-focused analysis argues that federated learning reduces some data exposure risks but cannot by itself guarantee privacy or ...
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
A new doctrinal study argues that distributed AI inference across ephemeral, multi-provider infrastructure is eroding jurisdictional nexus and evidentiary traceability, ...
A new study of FemTech apps and devices in the UK, EU and Switzerland finds regulatory gaps, invalid consent and ...
A new conceptual review proposes Verification-as-a-Service, a five-phase digital governance framework that replaces manual infrastructure inspections with cryptographically secured, geotagged ...
A systematic review of 50 studies reveals that federated learning, differential privacy, and secure computation each carry distinct mathematical trade-offs ...
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© 2025 Scienmag - Science Magazine