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...

Ausführliche Beschreibung