collaborators

7 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.DC2026

On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning

Shudi Weng, Xiang Zhang, Yizhou Zhao +3

In this paper, we study the fundamental limits of hierarchical secure aggregation under unreliable communication. We consider a hierarchical network where each client connects to m…

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

Optimal Key Rates for Decentralized Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints

Zhou Li, Xiang Zhang, Giuseppe Caire

Decentralized secure aggregation (DSA) considers a fully-connected network of users, where each pair of users can communicate bidirectionally over an error-free channel. Each u…

cs.IT2025

The Capacity of Collusion-Resilient Decentralized Secure Aggregation with Groupwise Keys

Zhou Li, Xiang Zhang, Yizhou Zhao +3

This paper investigates the information-theoretic decentralized secure aggregation (DSA) problem under practical groupwise secret keys and collusion resilience. In DSA, users a…

cs.IT2025

ProxySelect: Frequency Selectivity-Aware Scheduling for Joint OFDMA and MU-MIMO in 802.11ax WiFi

Xiang Zhang, Michail Palaiologos, Christian Bluemm +1

IEEE 802.11ax introduces orthogonal frequency division multiple access (OFDMA) to WiFi to support concurrent transmissions to a larger number of users. As bandwidth continues to gr…