Privacy-First Quantum Ensembles Learn From Labels No One Can See
Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing ...
Researchers have unveiled a framework that trains personalized quantum classifiers across many users while each label is privatized locally, guaranteeing ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
Millions of people who recovered from COVID-19 are discovering that the virus may have left behind an unwelcome souvenir: lasting ...
Artificial intelligence systems are increasingly trained on data that never leaves the devices where it is created—hospital servers holding sensitive ...
The rapid expansion of low Earth orbit satellite constellations has transformed the prospects for global connectivity, but it has also ...
Malware never sleeps, but the data needed to fight it cannot legally leave the organizations that collect it. That tension ...
In the rapidly evolving landscape of artificial intelligence and data science, safeguarding privacy while enabling collaborative learning has become a ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine