101 citations · 466 across the 65 of their papers we have counts for
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math.OC2023★ 14 cited
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
Guido Carnevale, Nicola Bastianello, Giuseppe Notarstefano +1
In this paper, we propose a novel distributed algorithm for consensus optimization over networks and a robust extension tailored to deal with asynchronous agents and packet losses.…
math.OC2023★ 1 cited
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano
Distributed aggregative optimization is a recently emerged framework in which the agents of a network want to minimize the sum of local objective functions, each one depending on t…