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Large-scale distributed L-BFGS
Maryam M. Najafabadi
, Taghi M. Koshgoftaar
,
Flavio Villanustre
, John Holt
LexisNexis
HPCC Systems
Florida Atlantic University
Research output
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›
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peer-review
36
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Keyphrases
Limited Memory
100%
Broyden-Fletcher-Goldfarb-Shanno
100%
Large-scale Distributed
100%
Broyden-Fletcher-Goldfarb-Shanno Algorithm
66%
High-speed Counter-current Chromatography (HSCCC)
33%
Distributed Systems
33%
Machine Learning Models
16%
Big Data Analytics
16%
Machine Learning
16%
Number of Parameters
16%
Computational Resources
16%
Recent Advances
16%
Parallelizing
16%
Increased Demand
16%
Parameter Estimation
16%
System Framework
16%
Optimization Methods
16%
Learning Areas
16%
Resource Availability
16%
Numeric Optimization
16%
Distributed Computation
16%
Cluster Platform
16%
Large Animal Model
16%
Large-scale Implementation
16%
Single Machine
16%
Commodity Computing
16%
Parallel Computing
16%
Computational Node
16%
High-performance Computing Cluster
16%
Model Training
16%
Computing Machine
16%
Extracting Patterns
16%
Computer Science
Distributed System
100%
High-Performance Computing
50%
Big Data Analytics
50%
Experimental Result
50%
Open Source
50%
Computational Resource
50%
Massive Amount
50%
Machine Learning
50%
Learning System
50%
Training Model
50%
Parameter Estimation
50%
Single Machine
50%
Distributed Computation
50%
Computational Node
50%
Parallel Computation
50%
Machine Learning Model
50%