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20172026
most citedLyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces

20 citations · 40 across the 32 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Distributed Training of Graph Convolutional Networks

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

The aim of this work is to develop a fully-distributed algorithmic framework for training graph convolutional networks (GCNs). The proposed method is able to exploit the meaningful…

eess.SP2020★ 3 cited

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation

Paolo Di Lorenzo, Simone Scardapane

We study distributed stochastic nonconvex optimization in multi-agent networks. We introduce a novel algorithmic framework for the distributed minimization of the sum of the expect…