A Randomized Block Subgradient Approach to Distributed Big Data Optimization.
Francesco FarinaGiuseppe NotarstefanoPublished in: CDC (2019)
Keyphrases
- big data
- data intensive
- cloud computing
- high volume
- data analysis
- optimization methods
- stochastic optimization
- data processing
- massive data
- commodity hardware
- data intensive computing
- distributed environment
- vast amounts of data
- data management
- social media
- big data analytics
- distributed systems
- business intelligence
- distributed computing
- optimization procedure
- knowledge discovery
- data science
- health informatics
- databases
- unstructured data
- data warehousing
- social computing
- huge data
- subgradient method
- data analytics
- massive datasets
- computing environments
- information processing
- peer to peer
- data mining
- data sets
- data driven decision making