Table 1 Distributed classification
From: From distributed machine to distributed deep learning: a comprehensive survey
Algorithm | Articles | Year | No. of references | Simulation/ Dataset | Evaluation metrics |
|---|---|---|---|---|---|
Distributed Boosting | [41] | 2022 | 26 |  | • Accuracy • Correctness • Communication complexity |
[44] | 2017 | 20 | • ocr17 • ocr49 • forestcover12 • particle • ringnorm • twonorm • Yahoo! | • Error | |
[43] | 2014 | 19 | • Reuters-21,578 • Medlin | • Time | |
[40] | 2002 | 31 | • Covertype • Pen-based digits • Waveform • LED | • Accuracy • Speedup | |
Distributed SVM | [51] | 2019 | 32 | • Optical satellite images | • RMSE |
[50] | 2015 | 14 | • Spiral data set • MNIST • COVERTYPE | • Integrations • Parallel Speed-up | |
[49] | 2011 | 40 | • Images from Corel database | • accuracy • training times | |
[48] | 2008 | 17 | • MNIST | • CPU seconds • Number of iterations • Communication overhead | |
[47] | 2003 | 16 | • Handwritten Chinese database ETL9B | • Error rate |