Add noise to remove noise: Local differential privacy for feature selection

•Serious privacy concern when data is supposed to be shared for feature selection.•Feature selection using Local Differential Privacy.•Protection of users’ privacy on their own devices.•Evaluating the impact of different criteria on framework performance.•Solution for continuous features.