So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Federated learning (FL) was developed to address the limitations of centralized machine learning, particularly issues related to data privacy and security threats such as model poisoning. However, FL ...