Fig. 4.

FL is to find global low-error space of ${\theta }_{\mathrm{global}}$ for client $A$ and $B$ after aggregation of “gradients” ${\Delta }_A$ and ${\Delta }_B$. The low-error space is defined by each client, which could correspond to high accuracy, or high model consistency for self-supervision.