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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Bibliographic Details
Published in:	IEEE robotics and automation letters Vol. 7; no. 2; pp. 1896 - 1903
Main Authors:	Yu, Javier, Vincent, Joseph A., Schwager, Mac
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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