In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

Sub-headline: HIT (Shenzhen) researchers develop FedPD to enhance personalized cross-architecture collaboration   Researchers ...

“A scientific career is a journey of transfer learning and federated learning.” ...

Read more about Deep learning and AI unlock new era of solar energy forecasting and performance on Devdiscourse ...

Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...

The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...

There are various methods for securely handling health data – some are still too computationally intensive, others still too ...

Stop blaming "the algorithm" for bias; without a rigorous trust scoring framework, your AI is just a high-speed engine for ...

Scientists at Bambino Gesu Children’s Hospital in Rome have grown three-dimensional tumor models from pediatric brain cancer ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

A practical guide to building trustworthy medical AI, covering data quality, bias, security, governance and safe deployment.