Edge AI represents a paradigm shift in artificial intelligence (AI), moving computation power from centralized data centers to the very devices within the edge of the network. This distributed approach offers {aarray of benefits, including reduced latency, enhanced privacy, and improved real-time analysis. By bringing AI algorithms to the edge, de

The landscape of artificial intelligence is undergoing a significant transformation, fueled by the rise of distributed AI solutions. These innovative techniques are shifting the paradigm by moving AI processing power to the fringe of the network, closer to the point of data generation. This {strategic{ shift offers a multitude of advantages, includ