The rise of instrumented devices has created a substantial surge in data generation. Traditionally, this data would be transmitted to cloud servers for computation, but this approach faces challenges like latency, bandwidth constraints, and privacy concerns. Enter Distributed AI, a framework that brings artificial intelligence capabilities directly

As our world transitions increasingly interconnected, the demand for intelligent systems that can process data in real time and at scale continues to skyrocket. Traditional centralized AI models often face challenges due to latency concerns and bandwidth limitations. This is where Edge AI emerges as a transformative solution. By implementing AI alg