Researchers from Sun Yat-sen University’s Shenzhen Campus, led by WenYuan Yang and Gege Jianga, have developed a decentralized federated learning framework, DFUN-KDF, to enhance UAV network efficiency ...

The landscape of artificial intelligence (AI) is evolving at an unprecedented pace. With transformative impacts across every conceivable sector, AI ...

Traffic sign recognition is vital for the success of the autonomous vehicles paradigm in mobile edge computing. We present a Federated Learning implementation based on a Lenet-5 CNN architecture which ...

AI isn’t just for interpreting images. It’s also remaking how they’re acquired ... and the General Data Protection Regulation (GDPR) set strict boundaries. Federated learning offers a compromise, ...

In the realm of smart healthcare, vast amounts of valuable patient data are generated worldwide. However, healthcare providers face challenges in data sharing due to privacy concerns. Federated ...

India's digital public infrastructure has delivered mixed results. What separates runaway successes like Aadhaar and UPI from under-leveraged platforms? The answer lies in purposeful design, ...

More information: Xueqi Li et al, Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator, Nature Electronics (2025).