928 citations · 3.8k across the 59 of their papers we have counts for
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Limited Rate Distributed Weight-Balancing and Average Consensus Over Digraphs
Chang-Shen Lee, Nicolò Michelusi, Gesualdo Scutari
Distributed quantized weight-balancing and average consensus over fixed digraphs are considered. A digraph with non-negative weights associated to its edges is weight-balanced if,…
Distributed Nonconvex Constrained Optimization over Time-Varying Digraphs
Gesualdo Scutari, Ying Sun
This paper considers nonconvex distributed constrained optimization over networks, modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic framework…
Second-order Guarantees of Distributed Gradient Algorithms
Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev
We consider distributed smooth nonconvex unconstrained optimization over networks, modeled as a connected graph. We examine the behavior of distributed gradient-based algorithms ne…
Distributed Big-Data Optimization via Block-wise Gradient Tracking
Ivano Notarnicola, Ying Sun, Gesualdo Scutari +1
We study distributed big-data nonconvex optimization in multi-agent networks. We consider the (constrained) minimization of the sum of a smooth (possibly) nonconvex function, i.e.,…
Decentralized Dictionary Learning Over Time-Varying Digraphs
Amir Daneshmand, Ying Sun, Gesualdo Scutari +2
This paper studies Dictionary Learning problems wherein the learning task is distributed over a multi-agent network, modeled as a time-varying directed graph. This formulation is r…
Parallel and Distributed Successive Convex Approximation Methods for Big-Data Optimization
Gesualdo Scutari, Ying Sun
Recent years have witnessed a surge of interest in parallel and distributed optimization methods for large-scale systems. In particular, nonconvex large-scale optimization problems…