A framework for parallel and distributed training of neural networks

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 that communicate with each other through a sparse, possibly time-varying, connectivity pattern. In such distributed scenari...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Scardapane, Simone [verfasserIn]

Di Lorenzo, Paolo

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2017transfer abstract

Schlagwörter:

Networks

Parallel computing

Distributed learning

Neural network

Umfang:

13

Übergeordnetes Werk:

Enthalten in: Regulatory design for RES-E support mechanisms: Learning curves, market structure, and burden-sharing - 2012, the official journal of the International Neural Network Society, European Neural Network Society and Japanese Neural Network Society, Amsterdam

Übergeordnetes Werk:

volume:91 ; year:2017 ; pages:42-54 ; extent:13

Links:

Volltext

DOI / URN:

10.1016/j.neunet.2017.04.004

Katalog-ID:

ELV035994169

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