TDMiL: Tiny Distributed Machine Learning for Microcontroller-Based Interconnected Devices
More and more, edge devices embark Artificial Neuron Networks.In this context, a trend is to simultaneously decentralize their training as much as possible while shrinking their resource requirements, both for inference and training—tasks that are typically intensive in terms of data, memory, and computation.At the edge’s extremity, a