Split-fed learning (SFL) is a novel approach within distributed collaborative machine learning that combines federated learning (FL) and split learning (SL). While SFL benefits from FL's speed and ...

With the emergence of edge devices along with their local computation advantage over the cloud, distributed deep learning (DL) training on edge nodes becomes promising. In such a method, the cluster ...

What Is a Large Language Model (LLM)? A large language model (LLM) is a way of training artificial intelligence tools like ChatGPT.