68 citations · 102 across the 5 of their papers we have counts for
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cs.LG2018★ 2 cited
Boosting Model Performance through Differentially Private Model Aggregation
Sophia Collet, Robert Dadashi, Zahi N. Karam +4
A key factor in developing high performing machine learning models is the availability of sufficiently large datasets. This work is motivated by applications arising in Software as…
cs.LG2018★ 7 cited
A Hybrid Instance-based Transfer Learning Method
Azin Asgarian, Parinaz Sobhani, Ji Chao Zhang +4
In recent years, supervised machine learning models have demonstrated tremendous success in a variety of application domains. Despite the promising results, these successful models…