We propose Joint Moment Estimation (JME), a method for continually and privately
estimating both the first and second moments of data with reduced noise compared to naive …

Differential privacy (DP) and federated learning (FL) are combined as advanced privacy-
preserving methods when training on-device language models in production mobile …

In differential privacy, $\textit {continual observation} $ refers to problems in which we wish to
continuously release a function of a dataset that is revealed one element at a time. The …