Leveraging Randomness in Model and Data Partitioning for Privacy Amplification

Andy Dong, Wei-Ning Chen, Ayfer Ozgur

We study how inherent randomness in the training process -- where each sample (or client in federated learning) contributes only to a randomly selected portion of training -- can b…