Tag: Data Privacy

Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...

A systematic benchmark of BFV and CKKS homomorphic encryption on cancer RNA-seq data reveals a clear latency-storage tradeoff while preserving ...

A new zero-install, MIT-licensed web tool automates orientation correction, alignment and mismatch aggregation for batch Sanger sequencing data without ever ...

The American Academy of Pediatrics has published new policy guidance urging that generative AI tools be designed specifically for pediatric ...

A new study derives an exact summary-statistics-only transformation that converts with-intercept regression fits into no-intercept fits, cutting federated learning costs, ...

A new study applies structural topic modeling and sentiment analysis to over one million Google Play reviews of open banking ...

Researchers have developed authenticated quantum private query protocols that simultaneously serve classical users, users who can measure single qubits, and ...

A new commentary argues that the RNA modification-based RMODscore for melanoma prognosis should undergo privacy-preserving federated validation across multiple hospitals ...

A survey of 321 Tunisian university students shows that trust, satisfaction, and ethical perceptions, not just usefulness, determine how deeply ...

Experts writing in The BMJ argue that menstrual tracking apps and cycle syncing lack convincing evidence of benefit while posing ...