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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…