Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks.
Kazuki OsawaYohei TsujiYuichiro UenoAkira NaruseRio YokotaSatoshi MatsuokaPublished in: CVPR (2019)
Keyphrases
- convolutional neural networks
- multi agent
- real life
- distributed systems
- small scale
- optimization process
- global optimization
- cooperative
- higher order
- optimization problems
- optimization algorithm
- distributed environment
- multiscale
- data intensive
- scale space
- state space
- high scalability
- data sets
- convolutional network
- distributed stream processing
- optimization method
- computer networks
- communication cost
- multi objective
- distributed network
- kronecker product