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LabeliaLabs / distributed-learning-contributivity

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
https://www.labelia.org
Apache License 2.0
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Gaussian noise dataset for corrupted partner #237

Open arthurPignet opened 4 years ago

arthurPignet commented 4 years ago

Today, to simulate a corrupted partner we can set all the labels of its dataset to 1 or shuffle its labels. It could be really interesting if the whole dataset of a corrupted partner can be randomly generated (Features or images, and label)

Thomas-Galtier commented 4 years ago

Interesting indeed. I had not thought about noise on the features... it raise a lot of questions.