activity
20202026
most citedEdge Federated Learning Via Unit-Modulus Over-The-Air Computation

60 citations · 68 across the 15 of their papers we have counts for

collaborators

15 papers

cs.CV2026

Dual-Attention and Adversarial Transfer Networks for Sim-to-Real Cross-Orientation Wireless Sensing

Linfeng Du, Kehan Wu, Tong Zhang +1

Millimeter-wave human activity recognition suffers significant performance degradation when the user's orientation changes relative to the sensing system, yet collecting labeled mu…

cs.IT2026

Group Relative Policy Optimization for Robust Blind Interference Alignment with Fluid Antennas

Jianqiu Peng, Tong Zhang, Shuai Wang +3

Fluid antenna system (FAS) leverages dynamic reconfigurability to unlock spatial degrees of freedom and reshape wireless channels. Blind interference alignment (BIA) aligns interfe…

cs.IT2025

Indoor Fluid Antenna Systems Enabled by Layout-Specific Modeling and Group Relative Policy Optimization

Tong Zhang, Qianren Li, Shuai Wang +5

Fluid antenna system (FAS) revolutionizes wireless communications via utilizing position-flexible antennas that dynamically optimize channel conditions and mitigate multipath fadin…

eess.SP2022★ 1 cited

Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving

Xinrao Li, Tong Zhang, Shuai Wang +3

Edge intelligence autonomous driving (EIAD) offers computing resources in autonomous vehicles for training deep neural networks. However, wireless channels between the edge server…

cs.IT2022

Accelerating Federated Edge Learning via Topology Optimization

Shanfeng Huang, Zezhong Zhang, Shuai Wang +2

Federated edge learning (FEEL) is envisioned as a promising paradigm to achieve privacy-preserving distributed learning. However, it consumes excessive learning time due to the exi…

eess.SP2021★ 1 cited

Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization

Shuai Wang, Dachuan Li, Rui Wang +3

Wireless federated learning (FL) is an emerging machine learning paradigm that trains a global parametric model from distributed datasets via wireless communications. This paper pr…