Multi-task learning on the edge: cost-efficiency and theoretical optimality

1 code implementation • 9 Oct 2021 • Sami Fakhry, Romain Couillet, Malik Tiomoko

This article proposes a distributed multi-task learning (MTL) algorithm based on supervised principal component analysis (SPCA) which is: (i) theoretically optimal for Gaussian mixtures, (ii) computationally cheap and scalable.

Multi-Task Learning