3 citations · 7 across the 3 of their papers we have counts for
3 papers
eess.SY2022★ 3 cited
Deep transfer learning for system identification using long short-term memory neural networks
Kaicheng Niu, Mi Zhou, Chaouki T. Abdallah +1
Recurrent neural networks (RNNs) have many advantages over more traditional system identification techniques. They may be applied to linear and nonlinear systems, and they require…
cs.LG2021★ 1 cited
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Zhuofan Zhang, Mi Zhou, Kaicheng Niu +1
Federated Learning is an algorithm suited for training models on decentralized data, but the requirement of a central "server" node is a bottleneck. In this document, we first intr…
cs.MA2021★ 3 cited
Game Theory and Machine Learning in UAVs-Assisted Wireless Communication Networks: A Survey
M. Zhou, Y. Guan, M. Hayajneh +2
In recent years, Unmanned Aerial Vehicles (UAVs) have been used in fields such as architecture, business delivery, military and civilian theaters, and many others. With increased a…