DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning

We present DiNNO, a distributed algorithm that enables a group of robots to collaboratively optimize a deep neural network model while communicating over a mesh network. Each robot only has access to its own data and maintains its own version of the neural network, but eventually learns a model that...

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Vydané v:	IEEE robotics and automation letters Ročník 7; číslo 2; s. 1896 - 1903
Hlavní autori:	Yu, Javier, Vincent, Joseph A., Schwager, Mac
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial neural networks Cognitive tasks Communication Data models Deep learning Deep learning methods distributed robot systems Finite element method Image classification Iterative methods Lagrangian function Machine learning multi-robot systems Multiple robots Network management systems Neural networks Optimization Robotics Robots Task analysis Training Wireless networks
ISSN:	2377-3766, 2377-3766
On-line prístup:	Získať plný text
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