3 papers
cs.IT2026
Information-Theoretic Secure Aggregation over Regular Graphs
Xiang Zhang, Zhou Li, Han Yu +4
Large-scale decentralized learning frameworks such as federated learning (FL), require both communication efficiency and strong data security, motivating the study of secure aggreg…
cs.IT2026
Optimal Rate Region for Multi-server Secure Aggregation with User Collusion
Zhou Li, Xiang Zhang, Kai Wan +3
Secure aggregation is a fundamental primitive in privacy-preserving distributed learning systems, where an aggregator aims to compute the sum of users' inputs without revealing ind…
cs.IT2025
On hierarchical secure aggregation against relay and user collusion
Min Xu, Xuejiao Han, Kai Wan +1
Secure aggregation (SA) is fundamental to privacy preservation in federated learning (FL), enabling model aggregation while preventing disclosure of individual user updates. This p…