Smoothly Bounding User Contributions in Differential Privacy

Neural Information Processing Systems 

When a user contributes more data points, more information can be collected to improve the algorithm's performance. But at the same time, more noise might need to be added to the algorithm in order to keep the algorithm differentially private and this might hurt the algorithm's performance.