Federated learning (FL) is a promising privacy-preserving paradigm, yet real-world applications face the challenge of model heterogeneity. Most personalized FL (PFL) methods require uniform ...

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, ...

Forbes contributors publish independent expert analyses and insights. There’s a new wrinkle in the saga of Chinese company DeepSeek’s recent announcement of a super-capable R1 model that combines high ...

DeepSeek’s R1 release has generated heated discussions on the topic of model distillation and how companies may protect against unauthorized distillation. Model distillation has broad IP implications ...

Protection against unauthorized model distillation is an emerging issue within the longstanding theme of safeguarding IP. Existing countermeasures have primarily focused on technical solutions. This ...

Distillation, also known as model or knowledge distillation, is a process where knowledge is transferred from a large, complex AI ‘teacher’ model to a smaller and more efficient ‘student’ model. Doing ...

The AI industry is witnessing a transformative trend: the use of distillation to make AI models smaller and cheaper. This shift, spearheaded by companies like DeepSeek and OpenAI, is reshaping the AI ...

Protection against unauthorized model distillation is an emerging issue within the longstanding theme of safeguarding IP. Existing countermeasures have primarily focused on technical solutions. This ...