Nature

Knowledge Distillation in Neural Networks

Knowledge distillation is an increasingly influential technique in deep learning that involves transferring the knowledge embedded in a large, complex “teacher” network to a smaller, more efficient ...
Forbes

Why DeepSeek Will Upend American Medicine

A woman holds a cell phone in front of a computer screen displaying the DeepSeek logo (Photo by Artur Widak, NurPhoto via Getty Images) At this month’s Paris AI Summit, the global conversation around ...
Geeky Gadgets

Knowledge Distillation : Learn How AI Models Teach Each Other

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...
Forbes

Here’s How Big LLMs Teach Smaller AI Models Via Leveraging Knowledge Distillation

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the rising tendency of employing ...
EurekAlert!

DFUN-KDF: A knowledge distillation-based decentralized federated learning framework for uav network optimization

As the use of Unmanned Aerial Vehicles (UAVs) expands across various fields, there is growing interest in leveraging Federated Learning (FL) to enhance the efficiency of UAV networks. However, ...