For years, buying a laptop or desktop was simple. You checked the processor, looked at the amount of RAM, maybe considered ...

Abstract: Federated Learning (FL) is a novel distributed learning paradigm which can coordinate multiple clients to jointly train a machine learning model by using their local data samples. Existing ...

Abstract: Multiaxis motion control systems have gained widespread adoption. However, the implementations of multiaxis servo control using distributed controllers are hindered by the data exchange ...

Learning to program in C on an online platform can provide structured learning and a certification to show along with your resume. Learning C can still be useful in 2026, especially if you want to ...

In this article, I explore how **multi-agent AI systems** can be designed for efficiency, comparing **sequential** and **parallel** architectures. For a detailed discussion, check out my full write-up ...