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math.OC2025
Optimization and Learning in Open Multi-Agent Systems
Diego Deplano, Nicola Bastianello, Mauro Franceschelli +1
Modern artificial intelligence relies on networks of agents that collect data, process information, and exchange it with neighbors to collaboratively solve optimization and learnin…
math.OC2024
Robust Online Learning over Networks
Nicola Bastianello, Diego Deplano, Mauro Franceschelli +1
The recent deployment of multi-agent networks has enabled the distributed solution of learning problems, where agents cooperate to train a global model without sharing their local,…
math.OC2024
Accelerated Alternating Direction Method of Multipliers Gradient Tracking for Distributed Optimization
Eduardo Sebastián, Mauro Franceschelli, Andrea Gasparri +2
This paper presents a novel accelerated distributed algorithm for unconstrained consensus optimization over static undirected networks. The proposed algorithm combines the benefits…