338 citations · 1.3k across the 45 of their papers we have counts for
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stat.ML2017
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane, Paolo Di Lorenzo
This paper proposes a new family of algorithms for training neural networks (NNs). These are based on recent developments in the field of non-convex optimization, going under the g…
stat.ML2016★ 25 cited
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…