Federated learning involves devices training a shared model on their own data and then sending model updates to be aggregated ...

Federated Learning Market The Global Federated Learning Market is projected to grow from $168.1 Million in 2025 to $596 Million by 2034, at ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

The integration of UAVs and AI is enabling faster, safer, and more scalable ecological surveillance. Multirotor drones offer ...

This article outlines key principles and architectural strategies that mitigate privacy risks, prevent unauthorized data ...

Ishu Anand Jaiswal spearheaded a remarkably successful AI-driven financial intelligence platform at a prestigious financial ...

Federated Transfer Learning: A novel technology to learn from different data sources of various stakeholders without a need to share data; Azure cloud web-based applications. For whom are we doing ...

PublicTechnology dives into the detail of HM Treasury's recently published efficiency plans document This month’s Spending ...

Although still in the early phases of its evolution and application, generative AI is set to become even more capable as the ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

A new report from MDRC finds that faculty members hold negative perceptions of transfer student readiness for upper-level ...

The Future of Federated Learning in National Security AI. From protecting patient data to helping agencies prepare for the unexpected, FL shows that secure innovation is not just possible; it is ...