93 citations · 210 across the 9 of their papers we have counts for
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math.OC2017★ 18 cited
Generalized gradient optimization over lossy networks for partition-based estimation
Marco Todescato, Nicoletta Bof, Guido Cavraro +2
We address the problem of distributed convex unconstrained optimization over networks characterized by asynchronous and possibly lossy communications. We analyze the case where the…
cs.LG2017★ 29 cited
Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering
Marco Todescato, Andrea Carron, Ruggero Carli +2
In this work we study the non-parametric reconstruction of spatio-temporal dynamical Gaussian processes (GPs) via GP regression from sparse and noisy data. GPs have been mainly app…