Distributed Time-Varying Gaussian Regression via Kalman Filtering

Nicola Taddei, Riccardo Maggioni, Jaap Eising +2

We consider the problem of learning time-varying functions in a distributed fashion, where agents collect local information to collaboratively achieve a shared estimate. This task…