Optimal communication and key rate region for hierarchical secure aggregation with user collusion
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 …
users to an aggregation server without letting the server know the inputs beyond their …
Fully robust federated submodel learning in a distributed storage system
We consider the federated submodel learning (FSL) problem in a distributed storage system.
In the FSL framework, the full learning model at the server side is divided into multiple …
In the FSL framework, the full learning model at the server side is divided into multiple …
The Capacity Region of Information Theoretic Secure Aggregation with Uncoded Groupwise Keys
This paper considers the secure aggregation problem for federated learning under an
information theoretic cryptographic formulation, where distributed training nodes (referred to …
information theoretic cryptographic formulation, where distributed training nodes (referred to …
Secure Aggregation with an Oblivious Server
H Sun - arXiv preprint arXiv:2307.13474, 2023 - arxiv.org
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 …
users at a server. Noticing that the sum might inevitably reveal information about the inputs …
Optimal Rate Region for Key Efficient Hierarchical Secure Aggregation with User Collusion
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 …
with multiple users to an aggregation server without revealing the user inputs to the server …