Asynchronous decentralized convex optimization through short-term gradient averaging.
Jérôme FellusDavid PicardPhilippe-Henri GosselinPublished in: ESANN (2015)
Keyphrases
- convex optimization
- short term
- long term
- interior point methods
- short term and long term
- total variation
- low rank
- convex optimization problems
- primal dual
- convex relaxation
- short and long term
- load forecasting
- norm minimization
- long term memory
- forecasting model
- wind speed
- gradient method
- natural images
- evolutionary algorithm
- feature selection
- operator splitting
- high dimensional
- feature extraction
- image sequences