Final answer:
The trend in IoT systems that utilizes distributed learning and task parallelization at the device layer is edge computing, which optimizes system performance by processing data closer to the source.
Step-by-step explanation:
The recent trend to provide intelligence to classical IoT systems that involves distributed learning and task parallelization at the device layer is known as edge computing. Edge computing brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. This is in contrast to cloud computing which relies on a centralized system. Fog computing also aims to bring advantages to the edge of the network, but is more about creating a decentralized computing infrastructure. Swarm computing, while related in that it involves multiple devices working together, typically refers to a collection of autonomous systems working collaboratively, which is not the main focus of the question being asked.