99 citations · 664 across the 27 of their papers we have counts for
4 papers · 1 filter
Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning
Jingheng Zheng, Hui Tian, Wanli Ni +2
Over-the-air federated learning (AirFL) allows devices to train a learning model in parallel and synchronize their local models using over-the-air computation. The integrity of Air…
Federated Deep Reinforcement Learning for RIS-Assisted Indoor Multi-Robot Communication Systems
Ruyu Luo, Wanli Ni, Hui Tian +1
Indoor multi-robot communications face two key challenges: one is the severe signal strength degradation caused by blockages (e.g., walls) and the other is the dynamic environment…
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
Wen Wang, Wanli Ni, Hui Tian +3
This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In…
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge
Jianyang Ren, Wanli Ni, Hui Tian
In this letter, we study a wireless federated learning (FL) system where network pruning is applied to local users with limited resources. Although pruning is beneficial to reduce…