Bharath Kumar Reddy Janumpally's work establishes a foundation for scalable, privacy-centric healthcare solutions, setting a ...

In recent decades, K-12 math education has evolved significantly, shifting from rote memorization to fostering conceptual ...

In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications ...

The Federated European Genome-phenome Archive (FEGA) is transforming how sensitive human genomic data is shared and accessed.

Decentralized intelligence networks could hold the key to making self-driving cars smarter and safer. Many see these vehicles ...

Traditional learning and development isn't going to cut it anymore. A deeper shift is needed that changes what it means to ...

The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

A research team has developed a way for self-driving vehicles to share their knowledge about road conditions indirectly, making it possible for each vehicle to learn from the experiences of others ...

Abstract: Federated Learning (FL) has been widely recognized as a promising promoter for future intelligent wireless networks, by collaboratively training a global machine learning (ML) model in a ...

Abstract: Federated learning (FL) addresses privacy concerns by training models ... In particular, data skewness among participants can compromise model accuracy, while diverse device capabilities ...