477 citations · 1.4k across the 57 of their papers we have counts for
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A Framework for Parallel and Distributed Training of Neural Networks
Simone Scardapane, Paolo Di Lorenzo
The aim of this paper is to develop a general framework for training neural networks (NNs) in a distributed environment, where training data is partitioned over a set of agents tha…
Distributed Supervised Learning using Neural Networks
Simone Scardapane
Distributed learning is the problem of inferring a function in the case where training data is distributed among multiple geographically separated sources. Particularly, the focus…
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane, Danilo Comminiello, Amir Hussain +1
In this paper, we consider the joint task of simultaneously optimizing (i) the weights of a deep neural network, (ii) the number of neurons for each hidden layer, and (iii) the sub…
Learning activation functions from data using cubic spline interpolation
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello +1
Neural networks require a careful design in order to perform properly on a given task. In particular, selecting a good activation function (possibly in a data-dependent fashion) is…
Perturbations of superstable linear hyperbolic systems
I. Kmit, N. Lyul'ko
The paper deals with initial-boundary value problems for linear non-autonomous first order hyperbolic systems whose solutions stabilize to zero in a finite time. We prove that prob…