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20102024
most citedNewton-Raphson Consensus under asynchronous and lossy communications for peer-to-peer networks

12 citations · 14 across the 3 of their papers we have counts for

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8 papers · 1 filter

math.OC2026

Adaptive Stepsizes With Certified Convergence in Distributed Gradient Tracking With Quadratic Costs

Yifan Wang, Luca Ballotta, Ruggero Carli +3

In this work, we propose an adaptive stepsize rule with guaranteed convergence for Distributed Gradient Tracking applied to scalar quadratic problems with heterogeneous curvatures.…

math.OC2026

Pursuing Optimal Stepsize in Adaptive Gradient-Based Quadratic Optimization

Yifan Wang, Luca Ballotta, Ruggero Carli +2

In this paper, we address the problem of achieving fast convergence in gradient descent for quadratic functions without relying on a priori knowledge of global function parameters.…

math.OC2026

Timescale Separation Through the Lens of Operator Theory

Guido Carnevale, Nicola Bastianello, Luca Schenato +2

Timescale separation is a powerful tool for analyzing interconnected dynamical systems. Meanwhile, operator theory provides a general framework for studying the convergence of iter…

math.OC2019

Smart Grid State Estimation with PMUs Time Synchronization Errors

Marco Todescato, Ruggero Carli, Luca Schenato +1

We consider the problem of PMU-based state estimation combining information coming from ubiquitous power demand time series and only a limited number of PMUs. Conversely to recent…

math.OC2019

Asynchronous Distributed Optimization over Lossy Networks via Relaxed ADMM: Stability and Linear Convergence

Nicola Bastianello, Ruggero Carli, Luca Schenato +1

In this work we focus on the problem of minimizing the sum of convex cost functions in a distributed fashion over a peer-to-peer network. In particular, we are interested in the ca…

math.OC2018

Lyapunov Theory for Discrete Time Systems

Nicoletta Bof, Ruggero Carli, Luca Schenato

In this work, we present the equivalent of many theorems available for continuous time systems. In particular, the theory is applied to Averaging Theory and Separation of time scal…