This concept paper highlights a recently opened opportunity for large scale\nanalytical algorithms to be trained directly on edge devices. Such approach is\na response to the arising need of processing data generated by natural person\n(a human being), also known as personal data. Spiking Neural networks are the\ncore method behind it: suitable for a low latency energy-constrained hardware,\nenabling local training or re-training, while not taking advantage of\nscalability available in the Cloud.\n