A Multi-task Supervised Compression Model for Split Computing

Yoshitomo Matsubara, Matteo Mendula, Marco Levorato

Split computing ($\ne$ split learning) is a promising approach to deep learning models for resource-constrained edge computing systems, where weak sensor (mobile) devices are wire…