12 papers · 1 filter
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…
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…
A Novel Cross-Domain Channel Estimation Scheme for OFDM
Mingcheng Nie, Ruoxi Chong, Shuangyang Li +5
In this paper, we propose a novel cross-domain channel estimation (CDCE) algorithm for orthogonal frequency division multiplexing (OFDM) systems, leveraging the unique characterist…
Faster-than-Nyquist Signaling for Next-Generation Wireless: Principles, Applications, and Challenges
Shuangyang Li, Melda Yuksel, Tongyang Xu +4
Future wireless networks are expected to deliver ultra-high throughput for supporting emerging applications. In such scenarios, conventional Nyquist signaling may falter. As a reme…
Near-Field Imaging by Exploiting Frequency Correlation in Wireless Communication Networks
Tianyu Yang, Kangda Zhi, Shuangyang Li +1
In this work, we address the near-field imaging under a wideband wireless communication network by exploiting both the near-field channel of a uniform linear array (ULA) and the im…
On the Sensing Capacity of Gaussian "Beam-Pointing" Channels with Block Memory and Feedback
Siyao Li, Shuangyang Li, Giuseppe Caire
Driven by the demands of high-frequency wireless communications in 5G and 6G systems (e.g., mmWave, sub-THz), we explore a state-dependent {\em Gaussian beam-pointing} (GBP) channe…