Decentralized multitask learning can estimate task relationship graphs directly from distributed data without assuming known structure

This paper investigates decentralized multitask learning over networks when the underlying task relationships are unknown. While existing graph-regularized multitask frameworks typically assume a known structure, practical settings often require learning inter-task dependencies directly from distributed data.

http://arxiv.org/abs/2608.26989v1