Secure aggregation is concerned with the task of securely uploading the inputs of multiple
users to an aggregation server without letting the server know the inputs beyond their …

In secure summation, K users, each holds an input, wish to compute the sum of the inputs at
a server without revealing any information about all the inputs even if the server may collude …

Secure aggregation usually aims at securely computing the sum of the inputs from $ K $
users at a server. Noticing that the sum might inevitably reveal information about the inputs …

Secure aggregation is concerned with the task of securely uploading the inputs associated
with multiple users to an aggregation server without revealing the user inputs to the server …

A collection of K random variables are called (K, n)-MDS if any n of the K variables are
independent and determine all remaining variables. In the MDS variable generation …

The secure summation problem is studied with user selection and collusion, where a server
may select any U out of K users and compute the sum of the inputs from the selected users …