collaborators

12 papers

cs.IT2026

Information-Theoretic Decentralized Secure Aggregation with User Dropouts

Zhou Li, Xiang Zhang, Yizhou Zhao +2

This paper investigates the fundamental limits of information-theoretic decentralized secure aggregation (DSA) with user dropouts. We consider a fully decentralized network where $…

cs.IT2026

Multi-Server Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints

Zhou Li, Xiang Zhang, Jiguang He +1

We study the fundamental limits of multi-server secure aggregation over a two-hop network where multiple servers, each connected to a disjoint subset of users, jointly compute the…

cs.IT2026

On the Capacity of Hierarchical Secure Aggregation with Groupwise Keys

Minyang Lu, Zhou Li, Haiqiang Chen +1

We study the hierarchical secure aggregation problem with groupwise keys. The problem consists of an aggregation server, relays, and users, where each relay serves dis…

cs.IT2026

Information-Theoretic Secure Aggregation in Decentralized Networks

Xiang Zhang, Zhou Li, Shuangyang Li +3

Motivated by the increasing demand for data security in decentralized federated learning (FL) and stochastic optimization, we formulate and investigate the problem of information-t…

cs.IT2026

Information-Theoretic Decentralized Secure Aggregation with Passive Collusion Resilience

Xiang Zhang, Zhou Li, Shuangyang Li +3

In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across…

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…