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06/24/2022
Achievement and Fragility of Long-term Equitability
Equipping current decision-making tools with notions of fairness, equita...
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03/04/2022
Triggered Gradient Tracking for Asynchronous Distributed Optimization
This paper proposes Asynchronous Triggered Gradient Tracking, i.e., a di...
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09/03/2020
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum
This paper deals with a network of computing agents aiming to solve an o...
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11/15/2019
A System Theoretical Perspective to Gradient-Tracking Algorithms for Distributed Quadratic Optimization
In this paper we consider a recently developed distributed optimization ...
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11/06/2019
DISROPT: a Python Framework for Distributed Optimization
In this paper we introduce DISROPT, a Python package for distributed opt...
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12/14/2018
Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach
Submodular optimization is a special class of combinatorial optimization...
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11/08/2018
A Primal Decomposition Method with Suboptimality Bounds for Distributed Mixed-Integer Linear Programming
In this paper we deal with a network of agents seeking to solve in a dis...
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08/22/2018
Distributed Big-Data Optimization via Block-wise Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
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08/22/2018
Distributed Big-Data Optimization via Block-Iterative Gradient Tracking
We study distributed big-data nonconvex optimization in multi-agent netw...
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05/27/2018
Distributed Big-Data Optimization via Block Communications
We study distributed multi-agent large-scale optimization problems, wher...
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05/02/2018
Distributed Big-Data Optimization via Block-Iterative Convexification and Averaging
In this paper, we study distributed big-data nonconvex optimization in m...
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11/25/2017
Constraint Coupled Distributed Optimization: a Relaxation and Duality Approach
In this paper we consider a distributed optimization scenario in which a...
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03/24/2017
