99 citations · 664 across the 27 of their papers we have counts for
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cs.LG2023★ 56 cited
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks
Wanli Ni, Jingheng Zheng, Hui Tian
Implementing existing federated learning in massive Internet of Things (IoT) networks faces critical challenges such as imbalanced and statistically heterogeneous data and device d…
cs.LG2022★ 46 cited
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…
cs.LG2022★ 20 cited
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…