Consensus-based distributed optimization: Practical issues and applications in large-scale machine learning.
Konstantinos I. TsianosSean F. LawlorMichael G. RabbatPublished in: Allerton Conference (2012)
Keyphrases
- practical issues
- machine learning
- global optimization
- real world
- high scalability
- machine learning methods
- distributed systems
- data mining
- feature selection
- cooperative
- optimization methods
- distributed environment
- supervised learning
- optimization algorithm
- distributed stream processing
- machine learning algorithms
- optimization problems
- pattern recognition
- inductive logic programming
- autonomy oriented computing
- optimization process
- small scale
- active learning
- learning tasks
- real life
- lightweight
- kernel methods
- optimization method
- peer to peer
- multi agent
- optimization approaches
- reinforcement learning
- genetic algorithm
- knowledge acquisition