Procedural activities are sequences of key-steps aimed at achieving specific goals. They are crucial to build intelligent agents able to assist users effectively.

Heterogeneous federated learning without assuming any structure is challenging due to the conflicts among non-identical data distributions of clients.

Part of this work was done while interning at Apple.

But, they are limited to unimodal, Gaussian approximations of state uncertainty.