Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

1 code implementation • 14 Oct 2020 • Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars

Results show that the aggregation of models for the HOG algorithm using MWMA not only preserves the accuracy of the model but also allows for distributed learning with an accuracy increase of 0. 9% compared with traditional learning.

BIG-bench Machine Learning object-detection +2