Stochastic, Distributed and Federated Optimization for Machine Learning.
Jakub KonecnýPublished in: CoRR (2017)
Keyphrases
- machine learning
- distributed systems
- stochastic optimization
- distributed data
- global optimization
- computer vision
- distributed environment
- pattern recognition
- stochastic search
- distributed information systems
- cooperative
- digital libraries
- multi agent
- optimization algorithm
- natural language processing
- machine learning methods
- monte carlo
- optimization process
- machine learning approaches
- stochastic programming
- data analysis
- autonomy oriented computing
- optimal control problems
- federated databases
- information extraction
- databases
- knowledge acquisition
- lightweight
- support vector machine
- knowledge discovery
- optimization problems
- computer networks
- inductive logic programming
- artificial intelligence
- inductive learning
- learning algorithm
- data mining
- optimization approaches
- peer to peer
- monte carlo sampling
- computing environments
- learning systems
- text mining
- supervised learning
- knowledge representation
- active learning
- computer science
- decision trees
- neural network