Asymptotic Network Independence in Distributed Optimization for Machine Learning.
Alex OlshevskyIoannis Ch. PaschalidisShi PuPublished in: CoRR (2019)
Keyphrases
- machine learning
- distributed network
- peer to peer
- computer networks
- communication cost
- communication overhead
- distributed environment
- information extraction
- communication networks
- peer to peer networks
- pattern recognition
- decision trees
- wireless sensor networks
- distribution network
- optimization problems
- distributed systems
- network nodes
- optimization algorithm
- artificial intelligence
- global optimization
- complex networks
- camera network
- data transfer
- remote server
- mobile sensor
- data mining
- mobile agents
- natural language processing
- network topologies
- genetic algorithm
- remote sites
- distributed control
- learning algorithm
- optimization approaches
- bayesian networks
- load balance
- cooperative
- exchange information
- network traffic
- computer science
- sensor networks
- computational intelligence
- network management
- network model
- knowledge acquisition
- optimization method
- neural network